CN110263932B - Multi-agent simulation system graphical combination construction method and device - Google Patents
Multi-agent simulation system graphical combination construction method and device Download PDFInfo
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Abstract
The application relates to a graphical combined construction method and device of a multi-agent simulation system, computer equipment and a storage medium. The method comprises the following steps: responding to the addition operation of the intelligent agent model graphic elements, constructing an intelligent agent model set to be combined, acquiring a global publishing and ordering interaction table, traversing the intelligent agent model set to be combined, matching publishing and ordering relations of the intelligent agent models to be combined, loading the intelligent agent models to be combined into an initial multi-intelligent agent simulation application framework, and constructing a multi-intelligent agent simulation system. On the one hand, the user adds the operation through the intelligent agent model primitive, adopts visual mode, has simplified user's operation process, and on the other hand utilizes the publish information and the order information of intelligent agent model to carry out the matching of intelligent agent model, has reduced the model matching degree of difficulty, adopts the overall situation to publish the interactive table of ordering and match the publishing order relation between the intelligent agent model, has realized the automatic combination of each intelligent agent model, has simplified simulation system's process of establishing.
Description
Technical Field
The application relates to the technical field of computers, in particular to a graphical combined construction method and device of a multi-agent simulation system, computer equipment and a storage medium.
Background
With the development and deep application of the society, the behaviors of the agents contained in the complex system are more and more complex, and the interaction relationship between the agents and the external environment and between the agents is more and more complex, so that the challenge of exploring and researching the mechanism of the complex system is more and more great. The complex system model is constructed by continuously optimizing, upgrading and integrating tests according to the change of analysis requirements, and deep excavation of requirements is carried out in iteration according to the rule of human cognition.
Due to the complexity and the comprehensiveness of the system, the conventionally constructed simulation system always faces the problems of high design difficulty, high development coordination difficulty and the like, so that the construction process of the complex simulation system is complicated.
Disclosure of Invention
In view of the above, there is a need to provide a graphical combined construction method, apparatus, computer device and storage medium for a multi-agent simulation system, which can simplify the system construction process.
A multi-agent simulation system graphical combination construction method comprises the following steps:
responding to an intelligent agent model primitive adding operation, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises an intelligent agent model requested to be added in the intelligent agent model primitive adding operation;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
and loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
In one embodiment, the obtaining the global publishing subscription interaction table includes:
traversing an intelligent agent model resource library, and searching a model description file of the intelligent agent model;
analyzing the model description file to obtain the published order information of the intelligent agent model;
and adding the publishing order information of the intelligent agent model to an initial publishing order interaction table, and constructing to obtain the global publishing order interaction table.
In one embodiment, the agent model repository includes an executable file and a model description file for each agent model.
In one embodiment, the constructing the set of to-be-combined intelligent agent models in response to the intelligent agent model primitive adding operation includes:
receiving an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model resource library interface of a terminal and adds the selected intelligent agent model primitive to a primitive editing area;
and constructing an intelligent agent model set to be combined according to the intelligent agent model requested to be added by the intelligent agent model adding message.
In one embodiment, traversing the to-be-combined agent model set, and performing publication order relationship matching on each to-be-combined agent model in the to-be-combined agent model set according to the global publication order interaction table further includes:
and establishing a primitive connecting line of the intelligent body model primitive in the primitive editing area from the issuing party to the ordering party for each matched publishing ordering relation.
In one embodiment, traversing the to-be-combined agent model set, and performing publication order relationship matching on each to-be-combined agent model in the to-be-combined agent model set according to the global publication order interaction table includes:
selecting one intelligent agent model to be combined from the intelligent agent model set to be combined as a target model;
for any intelligent body model to be combined which is not selected as the target model in the intelligent body model set to be combined, executing the following steps:
taking the unselected intelligent agent model to be combined as a model to be matched, and performing character string pairing on the target model and the model to be matched according to the global publishing, ordering and interacting table;
and when the character string is successfully paired, determining that the target model is matched with the publishing and ordering relationship of the model to be matched.
In one embodiment, the loading the to-be-combined agent model carrying the published order relationship into an initial multi-agent simulation application framework, and the constructing the multi-agent simulation system includes:
loading the to-be-combined intelligent agent model carrying the published ordering relationship to an initial multi-intelligent-agent simulation application framework to obtain a multi-intelligent-agent simulation application framework;
and generating interactive scheduling codes among the intelligent agent models in the multi-intelligent-agent simulation application framework according to the published ordering relationship carried by the intelligent agent models to be combined to construct the multi-intelligent-agent simulation system.
In one embodiment, after the loading the to-be-combined agent model carrying the published subscription relationship into the initial multi-agent simulation application framework and building the multi-agent simulation system, the method further includes:
updating the publishing order relationship when the intelligent agent model set to be combined is updated in response to the updating operation of the intelligent agent model;
and updating the multi-agent simulation system according to the updated intelligent agent model set to be combined and the updated published ordering relationship.
A multi-agent simulation system graphical composition construction apparatus, the apparatus comprising:
the set building module is used for responding to the addition operation of the intelligent agent model graphic elements and building an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the addition operation of the intelligent agent model graphic elements;
the interaction table acquisition module is used for acquiring a global publishing and ordering interaction table, and the global publishing and ordering interaction table comprises at least one of publishing information and ordering information of each agent model;
the relation matching module is used for traversing the intelligent agent model set to be combined and carrying out publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
and the system construction module is used for loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
responding to an intelligent agent model primitive adding operation, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises an intelligent agent model requested to be added in the intelligent agent model primitive adding operation;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
and loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
responding to an intelligent agent model primitive adding operation, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises an intelligent agent model requested to be added in the intelligent agent model primitive adding operation;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
and loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
According to the graphical combined construction method, the graphical combined construction device, the graphical combined construction computer equipment and the storage medium of the multi-agent simulation system, the to-be-combined agent models are determined by receiving adding requests of a plurality of agent models, the overall published ordering interaction table is obtained and comprises at least one of publishing information and ordering information of each agent model, the agent models to be combined are traversed, published ordering relation matching is carried out on each agent model to be combined according to the overall published ordering interaction table, the agent models to be combined carrying published ordering relations are loaded into a preset multi-agent simulation application frame, and the multi-agent simulation system is constructed. In the whole process, on one hand, a user adds the intelligent body model primitives through the intelligent body model primitives, a visual mode is adopted, the operation process of the user is simplified, on the other hand, the publishing information and the ordering information of the intelligent body model are utilized to match the intelligent body model, the model matching difficulty is reduced, a global publishing and ordering interaction table is adopted to match the publishing and ordering relationship among the intelligent body models which the user requests to add, the automatic combination of the intelligent body models in the simulation system is realized, and the construction process of the simulation system is simplified.
Drawings
FIG. 1 is a diagram illustrating an exemplary implementation of a graphical combinatorial construction methodology for a multi-agent simulation system;
FIG. 2 is a schematic flow chart diagram illustrating a method for building a graphical portfolio of a multi-agent simulation system in accordance with one embodiment;
FIG. 3 is a flow chart illustrating a method for building a graphical portfolio of a multi-agent simulation system in accordance with another embodiment;
FIG. 4 is a schematic flow chart diagram illustrating a multi-agent simulation system graphical portfolio construction methodology in yet another embodiment;
FIG. 5 is a schematic flow chart illustrating the substeps of step S600 in FIG. 2 according to one embodiment;
FIG. 6 is a flow chart of a graphical composition construction method for a multi-agent simulation system in accordance with yet another embodiment;
FIG. 7 is a block diagram of an apparatus for graphical composition of a multi-agent simulation system in one embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The graphical combined construction method of the multi-agent simulation system can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The server 104 responds to the intelligent agent model primitive adding operation of the terminal 102 to construct an intelligent agent model set to be combined, the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the intelligent agent model primitive adding operation, a global publishing and ordering interaction table is obtained, the global publishing and ordering interaction table comprises at least one of publishing information and ordering information of each intelligent agent model, the server 104 traverses the intelligent agent model set to be combined, publishing and ordering relation matching is carried out on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table, the intelligent agent model to be combined carrying the publishing and ordering relation is loaded into an initial multi-intelligent agent simulation application framework, and a multi-intelligent agent simulation system is constructed. For performing simulation operation on the built multi-agent simulation system through the terminal 102. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a graphical composition construction method for a multi-agent simulation system is provided, which is described by taking the method as an example applied to the server in fig. 1, and comprises steps S200 to S800.
And S200, responding to the addition operation of the intelligent agent model primitive, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the addition operation of the intelligent agent model primitive.
An agent is a computing entity that resides in a certain environment, can continuously and autonomously function, and has the characteristics of residence, reactivity, sociality, initiative and the like. The intelligent agent model is a model which exists in an intelligent agent simulation mode, can run in a simulation system and realizes the same function as the intelligent agent. The agent models are stored in the agent model repository in the form of executable files and model description files. The intelligent agent model graphic element means that the intelligent agent model is displayed in a graphic element form at the terminal. The graphical elements may be icons, text, and other visual visualizations. The intelligent agent model primitive adding operation refers to a process that a user selects and adds an intelligent agent model required by the simulation application model from an intelligent agent model resource library. In an embodiment, a user may perform a smart model primitive addition operation via a terminal interface, for example, the user may select and drag a smart model primitive from a smart model repository to a specified location via a mouse. And the server responds to the addition operation of the intelligent agent model graphic elements of the user and constructs an intelligent agent model set to be combined according to the intelligent agent model selected and added by the user. And each intelligent agent model in the intelligent agent model set to be combined is a part of model selected from an intelligent agent model resource library, and is used for constructing the multi-intelligent agent simulation system.
Step S400, a global publishing and ordering interactive table is obtained, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each intelligent agent model.
The global publishing and ordering interactive table is a data table used for recording publishing information and ordering information of each intelligent agent model in the intelligent agent model resource library, and is a basis for determining a combination relationship between the intelligent agent models. The global publish-subscribe interaction table may be constructed from existing agent model data.
The intelligent agent models are interacted through services among the intelligent agents, one service comprises a service provider and a service demander, the published information refers to the intelligent agent models serving as the service provider and can provide services for other intelligent agent models, and the subscription information refers to the intelligent agent models serving as the service demander and hopes for the services provided by other intelligent agent models. In an embodiment, the same agent model may be used as both a service provider and a service demander, and has both the published information and the subscription information, and the number of the published information and the subscription information may be one or more. It is to be understood that the agent model may have only published information, or only subscription information.
And S600, traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the overall publishing and ordering interaction table.
And before the simulation system is constructed, determining the matching relationship among the intelligent agent models to be combined through the overall publishing and ordering interaction table of the intelligent agent models. In the embodiment, traversing the intelligent agent models to be combined in the intelligent agent model set to be combined, taking the A model as the intelligent agent model needing matching currently, assuming the first traversed intelligent agent model as the B model, and acquiring the publishing and ordering data of the B model from the global publishing and ordering interaction table. And if the published data item of the model A is consistent with the ordered data item of the model B or the ordered data item of the model A is consistent with the published data item of the model B, determining that the model A and the model B have a published ordering relationship which is successfully matched, otherwise, traversing the next intelligent body model to be combined in the intelligent body model set to be combined until all the intelligent body models to be combined except the model A in the intelligent body model set to be combined are completely traversed, and similarly, traversing other intelligent body models to be combined in the intelligent body model set to be combined by taking other models as the intelligent body models which need to be matched currently, so as to realize the matching of the published ordering relationship among the intelligent body models to be combined in the intelligent body model set to be combined.
And step S800, loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
A simulation application framework refers to a specification of components that accomplish certain basic tasks of a simulation system. In the embodiment, a simulation application frame based on the simulation engine can be generated according to the specific characteristics of the simulation engine modeling frame, the simulation application frame corresponds to the simulation engine, the simulation engine can schedule the corresponding intelligent agent models according to the published ordering relation of the intelligent agent models to be combined, and interaction scheduling codes among the intelligent agent models are automatically generated, so that the construction of the multi-intelligent-agent simulation system is realized.
The graphical combined construction method of the multi-agent simulation system comprises the steps of determining an agent model to be combined by receiving adding requests of a plurality of agent models, obtaining a global publishing and ordering interaction table, traversing the agent model to be combined, matching publishing and ordering relations of the agent model to be combined according to the global publishing and ordering interaction table, loading the agent model to be combined carrying the publishing and ordering relations into a preset multi-agent simulation application frame, and constructing the multi-agent simulation system. In the whole process, on one hand, a user adds the intelligent body model primitives through the intelligent body model primitives, a visual mode is adopted, the operation process of the user is simplified, on the other hand, the publishing information and the ordering information of the intelligent body model are utilized to match the intelligent body model, the model matching difficulty is reduced, a global publishing and ordering interaction table is adopted to match the publishing and ordering relationship among the intelligent body models which the user requests to add, the automatic combination of the intelligent body models in the simulation system is realized, and the construction process of the simulation system is simplified.
In one embodiment, as shown in fig. 3, step S400, acquiring the global publication subscription interaction table includes steps S420 to S460.
Step S420, traversing the intelligent agent model resource library, and searching the model description file of the intelligent agent model.
And step S440, analyzing the model description file to obtain the publishing and ordering information of the intelligent agent model.
Step S460, the publishing order information of the agent model is added to the initial publishing order interaction table, and a global publishing order interaction table is constructed.
The intelligent agent model resource library stores executable files and model description files of the intelligent agent models, and the model description files of the intelligent agent models can be found by traversing the intelligent agent model resource library. In an embodiment, the model description file exists in xml (Extensible Markup Language) format, and by parsing the model description file, the publish-subscribe information of the agent model in the model description file can be obtained, where the publish-subscribe information is a general term for both publish information and subscribe information, and the publish-subscribe information of the agent model may include both publish information and subscribe information, and may include only publish information or only subscribe information. The initial publishing and ordering interactive table is a data table used for storing publishing and ordering information of the intelligent agent model, and the publishing and ordering information of the intelligent agent model is uniformly added to the initial publishing and ordering interactive table to obtain a global publishing and ordering interactive table. According to the global publishing and ordering interaction table, the publishing and ordering information of each intelligent agent model can be quickly searched and obtained.
In one embodiment, the agent model repository includes an executable file and a model description file for each agent model.
An executable file refers to a file that may be loaded for execution by an operating system. In different operating system environments, executable programs of executable files are presented differently. In the embodiment, the loading of the intelligent agent model is essentially to load the executable file of the intelligent agent model to the simulation system, so that the simulation system loads and executes the executable file, generates the interactive scheduling code between the intelligent agent models, and constructs the multi-intelligent agent simulation system required by the user.
In one embodiment, as shown in fig. 4, in step S200, in response to the adding operation of the smart model primitive, building a set of smart models to be combined includes step S220 and step S240.
Step S220, receiving an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model resource library interface of the terminal and adds the selected intelligent agent model primitive to a primitive editing area.
And S240, constructing an intelligent agent model set to be combined according to the intelligent agent model requested to be added by the intelligent agent model adding message.
And the intelligent agent model resource library interface of the terminal corresponds to the intelligent agent model resource library in the server and is used for displaying each intelligent agent model in the intelligent agent model resource library in the server so as to be used for the user to select the intelligent agent model. The graphic element is a mark symbol with reference meaning, and the intelligent body model graphic element is a mark symbol for representing the intelligent body model, and can be specifically in other intuitive forms such as icons, texts and the like. The agent model primitives are associated with an executable file of the agent model in an agent model repository. When a user selects an intelligent body model primitive from an intelligent body model resource library interface of a terminal and adds the selected intelligent body model primitive to a primitive editing area, an intelligent body model adding message is sent to a server through the terminal, the server receives the intelligent body model adding message, the corresponding intelligent body model to be combined is searched from an intelligent body model resource library according to the intelligent body model to be added requested by the intelligent body model adding message, and an intelligent body model set to be combined is constructed. In the embodiment, a user selects an intelligent model primitive from an intelligent model resource library interface in a mouse dragging mode and drags the intelligent model primitive to a primitive editing area. The graphic element editing area is a multi-agent graphical combined modeling editing area, each agent model is represented as a specific agent model graphic element in the graphical combined modeling editing area, namely different agent models are represented by different agent model graphic elements to distinguish the agent models.
In one embodiment, step S600, after traversing the to-be-combined agent model set and performing publication order relationship matching on each to-be-combined agent model in the to-be-combined agent model set according to the global publication order interaction table, the method further includes: and establishing a primitive connecting line of the intelligent agent model primitive in the primitive editing area from the issuing party to the ordering party for each matched publishing ordering relation.
The graphic element connecting line is a connecting line representing the issuing and ordering relation among the graphic elements of the intelligent agent model in the graphic element editing area in the display interface of the terminal. In the embodiment, the primitive connecting line can be a one-way primitive connecting line from the issuing party to the ordering party so as to visually represent the issuing and ordering relationship between the intelligent agent models.
In one embodiment, as shown in fig. 5, step S600 includes, traversing the to-be-combined agent model set, and performing publication order relationship matching on each to-be-combined agent model in the to-be-combined agent model set according to the global publication order interaction table, which includes steps S620 to S640.
And S620, selecting one intelligent agent model to be combined from the intelligent agent model set to be combined as a target model.
And executing the step S640 and the step S660 for any one to-be-combined intelligent body model which is not selected as the target model in the to-be-combined intelligent body model set.
And step S640, taking the unselected intelligent agent model to be combined as a model to be matched, and performing character string pairing on the target model and the model to be matched according to the global publishing and ordering interaction table.
And step S660, when the character strings are successfully paired, determining that the target model is matched with the publishing and ordering relationship of the model to be matched.
Taking a matching process of an intelligent body model to be combined in an intelligent body model set to be combined as an example, selecting an intelligent body model to be combined from the intelligent body model set to be combined as a target model, regarding an intelligent body model to be combined which is not selected as the target model in the intelligent body model set to be combined, taking the intelligent body model to be combined which is not selected as the model to be matched, and performing character string pairing on the target model and the model to be matched according to a global publishing and ordering interaction table so as to determine whether a publishing and ordering relationship exists between the target model and the model to be matched. And when the character string pairing is successful, determining that the target model is matched with the published ordering relationship of the models to be matched, and when the character string pairing is unsuccessful, performing character string pairing by taking the unselected next intelligent model to be combined as the model to be matched until all the intelligent models to be combined except the target model in the intelligent model set to be combined are traversed completely. And traversing and pairing character strings in the same way by taking other intelligent agent models to be combined as target models. In the embodiment, in order to avoid the phenomenon of repeated matching, according to the adding sequence of the intelligent agent models to be combined in the intelligent agent model set to be combined, the intelligent agent models to be combined are sequentially used as target models, and the traversal object of the target model is the intelligent agent model to be combined, of which the adding sequence is before the target model.
In one embodiment, as shown in fig. 6, step S800, loading the to-be-combined agent model carrying the published order relationship into the initial multi-agent simulation application framework to construct a multi-agent simulation system, includes steps S820 to S840.
And S820, loading the to-be-combined intelligent agent model carrying the published ordering relationship to an initial multi-intelligent-agent simulation application framework to obtain the multi-intelligent-agent simulation application framework.
And step S840, generating interactive scheduling codes among the intelligent agent models in a multi-intelligent-agent simulation application framework according to the published ordering relationship carried by the intelligent agent models to be combined, and constructing a multi-intelligent-agent simulation system.
The initial intelligent agent simulation application framework is an initial simulation application framework generated according to a simulation engine, intelligent agent models are not loaded, intelligent agent models to be combined in an intelligent agent model set are traversed through intelligent agent model primitives of a primitive editing area through an intelligent agent model loading interface provided by the simulation engine, the intelligent agent models are sequentially connected, interaction scheduling codes among the intelligent agent models are automatically generated in the simulation application framework according to published ordering relations among the intelligent agent models to be combined, interaction among the whole intelligent agent models is achieved, and the multi-intelligent agent simulation system is constructed.
In one embodiment, step S800, after loading the to-be-combined agent model carrying the published ordering relationship into the initial multi-agent simulation application framework and building the multi-agent simulation system, the method further includes:
and updating the publishing order relationship when the intelligent agent model set to be combined is updated in response to the updating operation of the intelligent agent model.
And updating the multi-agent simulation system according to the updated intelligent agent model set to be combined and the updated published ordering relationship.
The updating operation comprises the operations of adding, updating, deleting and the like of the intelligent agent model, the required intelligent agent model can be modified through the updating operation, the automatic combination and integration of the multi-intelligent agent simulation system are realized, the combination modeling difficulty of the system model is reduced, and the rapid iterative optimization of the system model is supported.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, there is provided a multi-agent simulation system graphical composition construction device, as shown in fig. 7, the device comprising:
and the set building module 100 is configured to respond to the smart model primitive adding operation and build a to-be-combined smart model set, where the to-be-combined smart model set includes a smart model requested to be added in the smart model primitive adding operation.
The interaction table obtaining module 200 is configured to obtain a global publish-subscribe interaction table, where the global publish-subscribe interaction table includes at least one of publish information and subscribe information of each agent model.
And the relationship matching module 300 is configured to traverse the set of to-be-combined intelligent agent models, and perform publishing and ordering relationship matching on each to-be-combined intelligent agent model in the set of to-be-combined intelligent agent models according to the global publishing and ordering interaction table.
A system building module 400, configured to load the to-be-combined agent model carrying the published ordering relationship into an initial multi-agent simulation application framework, so as to build a multi-agent simulation system.
In one embodiment, the multi-agent simulation system graphical combination construction device further comprises an interactive table construction module, which is used for traversing the agent model resource library, searching the model description file of the agent model, analyzing the model description file, obtaining the published order information of the agent model, adding the published order information of the agent model to the initial published order interactive table, and constructing to obtain the global published order interactive table.
In one embodiment, the agent model repository includes an executable file and a model description file for each agent model.
In one embodiment, the set constructing module 100 is further configured to receive an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model repository interface of the terminal and adds the selected intelligent agent model primitive to a primitive editing region, and construct an intelligent agent model set to be combined according to an intelligent agent model requested to be added by the intelligent agent model adding message.
In one embodiment, the multi-agent simulation system graphical combination construction device further comprises a primitive connecting line module for establishing a primitive connecting line from the issuing party to the ordering party for each matched published ordering relationship of the intelligent agent model primitives in the primitive editing area.
In one embodiment, the relationship matching module 300 is further configured to select an intelligent body model to be combined from the intelligent body model set to be combined as a target model, for any intelligent body model to be combined that is not selected as the target model in the intelligent body model set to be combined, perform character string pairing on the target model and the model to be matched by using the unselected intelligent body model to be combined as the model to be matched according to the global publish-subscribe interaction table, and determine that the target model is matched with the publish-subscribe relationship of the model to be matched when the character string pairing is successful.
In one embodiment, the system building module 400 is further configured to load the to-be-combined intelligent agent models carrying the published ordering relationships into an initial multi-intelligent-agent simulation application framework to obtain a multi-intelligent-agent simulation application framework, and generate interactive scheduling codes among the intelligent agent models in the multi-intelligent-agent simulation application framework according to the published ordering relationships carried by the to-be-combined intelligent agent models to build the multi-intelligent-agent simulation system.
In one embodiment, the multi-agent simulation system graphical combination construction device further comprises a system updating module, which is used for updating the publishing order relationship when the intelligent agent model set to be combined is updated in response to the updating operation of the intelligent agent model; and updating the multi-agent simulation system according to the updated intelligent agent model set to be combined and the updated published ordering relationship.
According to the graphical combined construction device of the multi-agent simulation system, the to-be-combined agent models are determined by receiving adding requests of a plurality of agent models, the overall published ordering interaction table is obtained and comprises at least one of published information and ordering information of the agent models, the agent models to be combined are traversed, published ordering relation matching is carried out on the agent models to be combined according to the overall published ordering interaction table, the agent models to be combined carrying the published ordering relation are loaded into a preset multi-agent simulation application frame, and the multi-agent simulation system is constructed. In the whole process, on one hand, a user adds the intelligent body model primitives through the intelligent body model primitives, a visual mode is adopted, the operation process of the user is simplified, on the other hand, the publishing information and the ordering information of the intelligent body model are utilized to match the intelligent body model, the model matching difficulty is reduced, a global publishing and ordering interaction table is adopted to match the publishing and ordering relationship among the intelligent body models which the user requests to add, the automatic combination of the intelligent body models in the simulation system is realized, and the construction process of the simulation system is simplified.
For the specific definition of the multi-agent simulation system graphical combined construction device, refer to the above definition of the multi-agent simulation system graphical combined construction method, and are not described herein again. The modules in the multi-agent simulation system graphical combined construction device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the graphical combination construction data of the multi-agent simulation system. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a graphical combined construction method of the multi-agent simulation system.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
responding to the addition operation of the intelligent agent model graphic elements, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the addition operation of the intelligent agent model graphic elements;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the overall publishing and ordering interaction table;
and loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
traversing an intelligent agent model resource library, and searching a model description file of the intelligent agent model;
analyzing the model description file to obtain the published order information of the intelligent agent model;
and adding the publishing and ordering information of the intelligent agent model to the initial publishing and ordering interaction table, and constructing to obtain a global publishing and ordering interaction table.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model resource library interface of a terminal and adds the selected intelligent agent model primitive to a primitive editing area;
and constructing an intelligent agent model set to be combined according to the intelligent agent model added by the intelligent agent model adding message request.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and establishing a primitive connecting line of the intelligent agent model primitive in the primitive editing area from the issuing party to the ordering party for each matched publishing ordering relation.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
selecting one intelligent agent model to be combined from the intelligent agent model set to be combined as a target model;
for any one to-be-combined intelligent agent model which is not selected as the target model in the to-be-combined intelligent agent model set, executing the following steps:
taking the unselected intelligent agent model to be combined as a model to be matched, and performing character string pairing on the target model and the model to be matched according to the overall publishing and ordering interaction table;
and when the character strings are successfully paired, determining that the target model is matched with the published ordering relationship of the model to be matched.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
loading the to-be-combined intelligent agent model carrying the published ordering relationship to an initial multi-intelligent-agent simulation application framework to obtain a multi-intelligent-agent simulation application framework;
and generating interactive scheduling codes among the intelligent agent models in a multi-intelligent-agent simulation application framework according to the published ordering relationship carried by the intelligent agent models to be combined to construct a multi-intelligent-agent simulation system.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
updating and publishing the order relationship when responding to the updating operation of the intelligent agent model and updating the intelligent agent model set to be combined;
and updating the multi-agent simulation system according to the updated intelligent agent model set to be combined and the updated published ordering relationship.
The computer equipment for realizing the graphical combined construction method of the multi-agent simulation system determines the agent models to be combined by receiving the adding requests of the agent models, acquires the overall publishing and ordering interactive table, wherein the overall publishing and ordering interactive table comprises at least one of publishing information and ordering information of the agent models, traverses the agent models to be combined, performs publishing and ordering relationship matching on the agent models to be combined according to the overall publishing and ordering interactive table, and loads the agent models to be combined carrying the publishing and ordering relationship into a preset multi-agent simulation application framework to construct the multi-agent simulation system. In the whole process, on one hand, a user adds the intelligent body model primitives through the intelligent body model primitives, a visual mode is adopted, the operation process of the user is simplified, on the other hand, the publishing information and the ordering information of the intelligent body model are utilized to match the intelligent body model, the model matching difficulty is reduced, a global publishing and ordering interaction table is adopted to match the publishing and ordering relationship among the intelligent body models which the user requests to add, the automatic combination of the intelligent body models in the simulation system is realized, and the construction process of the simulation system is simplified.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
responding to the addition operation of the intelligent agent model graphic elements, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the addition operation of the intelligent agent model graphic elements;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the overall publishing and ordering interaction table;
and loading the to-be-combined intelligent agent model carrying the published ordering relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system.
In one embodiment, the computer program when executed by the processor further performs the steps of:
traversing an intelligent agent model resource library, and searching a model description file of the intelligent agent model;
analyzing the model description file to obtain the published order information of the intelligent agent model;
and adding the publishing and ordering information of the intelligent agent model to the initial publishing and ordering interaction table, and constructing to obtain a global publishing and ordering interaction table.
In one embodiment, the computer program when executed by the processor further performs the steps of:
receiving an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model resource library interface of a terminal and adds the selected intelligent agent model primitive to a primitive editing area;
and constructing an intelligent agent model set to be combined according to the intelligent agent model added by the intelligent agent model adding message request.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and establishing a primitive connecting line of the intelligent agent model primitive in the primitive editing area from the issuing party to the ordering party for each matched publishing ordering relation.
In one embodiment, the computer program when executed by the processor further performs the steps of:
selecting one intelligent agent model to be combined from the intelligent agent model set to be combined as a target model;
for any one to-be-combined intelligent agent model which is not selected as the target model in the to-be-combined intelligent agent model set, executing the following steps:
taking the unselected intelligent agent model to be combined as a model to be matched, and performing character string pairing on the target model and the model to be matched according to the overall publishing and ordering interaction table;
and when the character strings are successfully paired, determining that the target model is matched with the published ordering relationship of the model to be matched.
In one embodiment, the computer program when executed by the processor further performs the steps of:
loading the to-be-combined intelligent agent model carrying the published ordering relationship to an initial multi-intelligent-agent simulation application framework to obtain a multi-intelligent-agent simulation application framework;
and generating interactive scheduling codes among the intelligent agent models in a multi-intelligent-agent simulation application framework according to the published ordering relationship carried by the intelligent agent models to be combined to construct a multi-intelligent-agent simulation system.
In one embodiment, the computer program when executed by the processor further performs the steps of:
updating and publishing the order relationship when responding to the updating operation of the intelligent agent model and updating the intelligent agent model set to be combined;
and updating the multi-agent simulation system according to the updated intelligent agent model set to be combined and the updated published ordering relationship.
The computer-readable storage medium for realizing the graphical combined construction method of the multi-agent simulation system determines the agent models to be combined by receiving the adding requests of the agent models, acquires the overall publishing ordering interactive table, wherein the overall publishing ordering interactive table comprises at least one of the publishing information and the ordering information of the agent models, traverses the agent models to be combined, performs publishing ordering relationship matching on the agent models to be combined according to the overall publishing ordering interactive table, and loads the agent models to be combined carrying the publishing ordering relationship into a preset multi-agent simulation application frame to construct the multi-agent simulation system. In the whole process, on one hand, a user adds the intelligent body model primitives through the intelligent body model primitives, a visual mode is adopted, the operation process of the user is simplified, on the other hand, the publishing information and the ordering information of the intelligent body model are utilized to match the intelligent body model, the model matching difficulty is reduced, a global publishing and ordering interaction table is adopted to match the publishing and ordering relationship among the intelligent body models which the user requests to add, the automatic combination of the intelligent body models in the simulation system is realized, and the construction process of the simulation system is simplified.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A multi-agent simulation system graphical combination construction method comprises the following steps:
responding to an intelligent agent model primitive adding operation, and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises an intelligent agent model requested to be added in the intelligent agent model primitive adding operation; the intelligent agent model primitive adding operation refers to a process that a user selects and adds an intelligent agent model required by constructing a simulation application model from an intelligent agent model resource library;
acquiring a global publishing and ordering interactive table, wherein the global publishing and ordering interactive table comprises at least one of publishing information and ordering information of each agent model;
traversing the intelligent agent model set to be combined, and performing publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
loading the to-be-combined intelligent agent models carrying the published ordering relationship into an initial multi-intelligent-agent simulation application frame to construct a multi-intelligent-agent simulation system, wherein the initial multi-intelligent-agent simulation application frame corresponds to a simulation engine, and the simulation engine is used for scheduling the corresponding intelligent agent models according to the published ordering relationship of the to-be-combined intelligent agent models, automatically generating interactive scheduling codes among the intelligent agent models and constructing the multi-intelligent-agent simulation system.
2. The method of claim 1, wherein obtaining a global publish-subscribe interaction table comprises:
traversing an intelligent agent model resource library, and searching a model description file of the intelligent agent model;
analyzing the model description file to obtain the published order information of the intelligent agent model;
and adding the publishing order information of the intelligent agent model to an initial publishing order interaction table, and constructing to obtain the global publishing order interaction table.
3. The method of claim 2, wherein the repository of agent models includes an executable file and a model description file for each agent model.
4. The method of claim 1, wherein constructing a set of to-be-combined agent models in response to an agent model primitive addition operation comprises:
receiving an intelligent agent model adding message sent when a user selects an intelligent agent model primitive from an intelligent agent model resource library interface of a terminal and adds the selected intelligent agent model primitive to a primitive editing area;
and constructing an intelligent agent model set to be combined according to the intelligent agent model requested to be added by the intelligent agent model adding message.
5. The method of claim 4, wherein traversing the set of to-be-combined agent models, and after performing publish-subscribe relationship matching on each to-be-combined agent model in the set of to-be-combined agent models according to the global publish-subscribe interaction table, further comprises:
and establishing a primitive connecting line of the intelligent body model primitive in the primitive editing area from the issuing party to the ordering party for each matched publishing ordering relation.
6. The method of claim 1, wherein traversing the set of to-be-combined agent models, and performing publish-subscribe relationship matching on each to-be-combined agent model in the set of to-be-combined agent models according to the global publish-subscribe interaction table comprises:
selecting one intelligent agent model to be combined from the intelligent agent model set to be combined as a target model;
for any intelligent body model to be combined which is not selected as the target model in the intelligent body model set to be combined, executing the following steps:
taking the unselected intelligent agent model to be combined as a model to be matched, and performing character string pairing on the target model and the model to be matched according to the global publishing, ordering and interacting table;
and when the character string is successfully paired, determining that the target model is matched with the publishing and ordering relationship of the model to be matched.
7. The method as claimed in claim 1, wherein said loading the to-be-combined agent model carrying the published ordering relationships into an initial multi-agent simulation application framework, building a multi-agent simulation system comprises:
loading the to-be-combined intelligent agent model carrying the published ordering relationship to an initial multi-intelligent-agent simulation application framework to obtain a multi-intelligent-agent simulation application framework;
and generating interactive scheduling codes among the intelligent agent models in the multi-intelligent-agent simulation application framework according to the published ordering relationship carried by the intelligent agent models to be combined to construct the multi-intelligent-agent simulation system.
8. A multi-agent simulation system graphical composition construction device, the device comprising:
the operation response module is used for responding to the addition operation of the intelligent agent model graphic primitive and constructing an intelligent agent model set to be combined, wherein the intelligent agent model set to be combined comprises the intelligent agent model requested to be added in the addition operation of the intelligent agent model graphic primitive; the intelligent agent model primitive adding operation refers to a process that a user selects and adds an intelligent agent model required by constructing a simulation application model from an intelligent agent model resource library;
the interaction table acquisition module is used for acquiring a global publishing and ordering interaction table, and the global publishing and ordering interaction table comprises at least one of publishing information and ordering information of each agent model;
the relation matching module is used for traversing the intelligent agent model set to be combined and carrying out publishing and ordering relation matching on each intelligent agent model to be combined in the intelligent agent model set to be combined according to the global publishing and ordering interaction table;
and the system construction module is used for loading the intelligent agent models to be combined carrying the published order relationship into an initial multi-intelligent-agent simulation application framework to construct a multi-intelligent-agent simulation system, wherein the initial multi-intelligent-agent simulation application framework corresponds to a simulation engine, and the simulation engine is used for scheduling the corresponding intelligent agent models according to the published order relationship of the intelligent agent models to be combined, automatically generating interactive scheduling codes among the intelligent agent models and constructing the multi-intelligent-agent simulation system.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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