CN107080945A - Method, device and the electronic equipment of artificial intelligence behavior in test game - Google Patents
Method, device and the electronic equipment of artificial intelligence behavior in test game Download PDFInfo
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- CN107080945A CN107080945A CN201710328835.3A CN201710328835A CN107080945A CN 107080945 A CN107080945 A CN 107080945A CN 201710328835 A CN201710328835 A CN 201710328835A CN 107080945 A CN107080945 A CN 107080945A
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Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/56—Computing the motion of game characters with respect to other game characters, game objects or elements of the game scene, e.g. for simulating the behaviour of a group of virtual soldiers or for path finding
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/60—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/60—Methods for processing data by generating or executing the game program
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/60—Methods for processing data by generating or executing the game program
- A63F2300/65—Methods for processing data by generating or executing the game program for computing the condition of a game character
Abstract
The application is related to method, device and the electronic equipment of artificial intelligence behavior in test game, and method includes：Artificial intelligence behavior tree in configuration file is modeled and obtains setting object；Node is carried out to the tree object split to obtain set of node, and carry out branch to the tree object and split to obtain Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively；The node in the set of node is loaded into the game respectively and tested, set to be loaded into be tested in the game and set to be loaded into the game after the execution condition recorded respectively by the tree object after the execution condition recorded respectively by the branch in the Bifurcation Set and tested, can be lifted in game test for the testing efficiency in terms of AI behaviors.
Description
Technical field
The application is related to software testing technology field, in particular to for entering to artificial intelligence AI behaviors in game
Method, device and the electronic equipment of row test.
Background technology
In current major game, either end trip, or hand trip, more or less all exist in some NPC, copy
Monster these game roles, and these game roles have the logic of a set of fixation to control them, allow them to simulate truly
Personage's behavior, these game behaviors are generally referred to as AI behaviors.The small monster of small to one copy, greatly in a copy
Big BOSS, is dependent on the AI behaviors of differing complexity to control.In one is played, with the increase of monster, BOSS's
Increase, the quantity of AI behaviors is also in increase, and a large-scale game may includes hundreds of different AI Action logics.
In the exploitation of game, an AI behavior is controlled by a text based on XML format, similar to common in computer
Multiway Tree Structure, the XML texts are with each AI of the structure organization set Action logic, each action that each AI is showed
Or each behavior, all it is the different nodes in a branch for this AI behavior tree.Each AI behavior trees, are so small to have only several
Branch, several nodes, greatly to tens, hundreds of branches or nodes.
For one is played, it is ensured that the AI behaviors of monster are correct, are a critically important job.But, face
To the AI behavior tree files of such vast number, how efficient to be tested, it is ensured that all AI behaviors are all set according to game
The logic operation of meter person game plan in other words, is a considerable ring in a development of games cycle.Each game is being opened
During hair, renewal and iteration when numerous behavior trees also can be in face of different editions are returned in the iteration for carrying out each version of game
When returning test, verify and test in turn by manpower, be unusual inefficiency.
At present in terms of for AI behavior tree tests, a kind of mode is that manually AI behavior trees are loaded into game,
By naked eyes viewing role-act, but so it is related to the aspect of numerical value for some, such as scope judges, is can only have one
Individual general scope, it is impossible to obtain exact value, manual observation also expends the time, inefficiency.
Also a kind of mode is semi-automatic mode, the branch of tester oneself definition tree, by branch's self assemble again
Embark on journey for the scheme of tree.Although this mode can help tester to improve testing efficiency to a certain extent, exist
Many problems.First, when being related to numerical value correlation, it is impossible to accurately obtain result, it can only be forbidden by manually estimating
Really, efficiency comparison is low.Secondly, part AI behavior trees branch may be omitted by self assemble, cause Test coverage incomplete.
In addition, the test logic of this mode is unsound, not from most basic single behavior tree combined joint and game basic function section
Beginning of starting with is put, if subsequently having the behavior tree branch for using the defective individual node of function, the branch performs failure, can
It can mislead the problem of tester's judgement is other nodes of this branch and condition.Moreover, this mode lacks collection
Relevant portion, in the case of in face of a large amount of AI behaviors trees, it is impossible to intuitively provide the implementation status of each tree.
The content of the invention
The method of artificial intelligence behavior in disclosure test game, to be lifted in game test in terms of AI behaviors
Testing efficiency.
Other characteristics and advantage of the present invention will be apparent from by following detailed description, or partially by the present invention
Practice and acquistion.
According to the first aspect of the invention there is provided a kind of method for testing artificial intelligence behavior in game, including：
Artificial intelligence behavior tree in configuration file is modeled and obtains setting object；
Node fractionation is carried out to the tree object and obtains set of node, and the tree object progress branch is divided
Support, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
The node in the set of node is loaded into the game respectively and tested, respectively by the Bifurcation Set
Branch sets to be loaded into the game after the execution condition recorded and is tested and set the tree object respectively
Put to be loaded into the game after the execution condition recorded and tested.
According to some embodiments, the artificial intelligence behavior tree in configuration file be modeled obtain tree object before also
Including：
The catalogue of artificial intelligence behavior tree to be tested is obtained according to the configuration file, according to being obtained the catalogue
Artificial intelligence behavior tree.
According to some embodiments, the artificial intelligence behavior tree is stored with extensible markup language document.
According to some embodiments, obtaining the artificial intelligence behavior tree according to the catalogue includes：Obtained according to the catalogue
Take in the extensible markup language document for storing the artificial intelligence behavior tree.
According to some embodiments, the node of the tree object includes the child node collection category for being used to record level of child nodes collection
Property；
Obtaining set of node to the tree object progress node fractionation includes：According to the child node collection of the node of the tree object
Attribute carries out node fractionation to the tree object and obtains set of node.
According to some embodiments, the node in the set of node is loaded into the game respectively tested, point
The execution condition of the other branch in the Bifurcation Set is tested and the execution to the tree object respectively after being configured
Condition also includes after being tested after being configured：The result that the test is obtained is collected and/or shown.
According to the second aspect of the invention there is provided a kind of device for testing artificial intelligence behavior in game, it includes：
Modeling unit, obtains setting object for being modeled the artificial intelligence behavior tree in configuration file；
Split cells, obtains set of node, and the tree object is carried out for carrying out node fractionation to the tree object
Branch is split and obtains Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
Test cell, for the node in the set of node is loaded into the game respectively tested, respectively will
Branch in the Bifurcation Set sets to be loaded into the game after the execution condition recorded and tested and by institute
Tree object is stated to set to be loaded into the game after the execution condition recorded respectively and tested.
According to some embodiments, described device also includes behavior tree acquiring unit, for artificial in configuration file
Intelligent behavior tree is modeled before obtaining tree object, and artificial intelligence behavior tree to be tested is obtained according to the configuration file
Catalogue, the artificial intelligence behavior tree is obtained according to the catalogue.
According to some embodiments, the artificial intelligence behavior tree is stored with extensible markup language document.
According to some embodiments, the behavior tree acquiring unit is used for：Obtained according to the catalogue for storing the people
The extensible markup language document of work intelligent behavior tree.
According to some embodiments, the node of the tree object includes the child node collection category for being used to record level of child nodes collection
Property；
The split cells is used for：The tree object is saved according to the child node set attribute of the node of the tree object
Point fractionation obtains set of node.
According to some embodiments, described device also includes result treatment unit, for respectively by the set of node
Node be loaded into the game tested, the execution condition of the branch in the Bifurcation Set is configured respectively after carry out
After testing and being tested after being configured respectively to the execution condition for setting object, obtained knot is tested to described
Fruit is collected and/or shown.
According to the third aspect of the invention we there is provided a kind of electronic equipment, including：Processor；Memory, is stored for described
The instruction that processor control is operated as described in above-mentioned any one of first aspect.
The technical scheme that embodiments herein is provided can include the following benefits：
The technical scheme of the present embodiment obtains setting object by being modeled the artificial intelligence behavior tree in configuration file,
Node is carried out to the tree object split to obtain set of node, and carry out branch to the tree object and split to obtain Bifurcation Set, and
The execution condition to the branch in the Bifurcation Set is recorded respectively, is then respectively loaded into the node in the set of node
Institute is loaded into after the execution condition tested in the game, respectively recorded branch's setting in the Bifurcation Set
State and tested in game and be loaded into the game after the tree object is set into the execution condition recorded respectively
It is middle to be tested, to be lifted in game test for the testing efficiency in terms of artificial intelligence behavior.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
Invention.
Brief description of the drawings
Its example embodiment is described in detail by referring to accompanying drawing, above and other feature of the invention and advantage will become more
Plus substantially.
The method that Fig. 1 shows artificial intelligence behavior in test game according to an embodiment of the invention；
The method that Fig. 2 shows artificial intelligence behavior in test game according to another embodiment of the present invention；
Fig. 3 shows the block diagram of the device of artificial intelligence behavior in test game according to an embodiment of the invention；
Fig. 4 shows the block diagram of the device of artificial intelligence behavior in test game according to another embodiment of the present invention；
Fig. 5 shows electronic equipment according to an embodiment of the invention.
Embodiment
Example embodiment is described more fully with referring now to accompanying drawing.However, example embodiment can be real in a variety of forms
Apply, and be not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the present invention will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively conveyed into those skilled in the art.Identical reference is represented in figure
Same or similar part, thus repetition thereof will be omitted.
Implement in addition, described feature, structure or characteristic can be combined in any suitable manner one or more
In example.Embodiments of the invention are fully understood so as to provide there is provided many details in the following description.However,
It will be appreciated by persons skilled in the art that technical scheme can be put into practice without one or more in specific detail,
Or can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization operate to avoid fuzzy each aspect of the present invention.
Block diagram shown in accompanying drawing is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit
These functional entitys, or realize in heterogeneous networks and/or processor device and/or microcontroller device these functional entitys.
Flow chart shown in accompanying drawing is merely illustrative, it is not necessary to including all contents and operation/step,
It is not required to perform by described order.For example, some operation/steps can also be decomposed, and some operation/steps can be closed
And or part merge, therefore the actual order performed is possible to be changed according to actual conditions.
The method that Fig. 1 shows artificial intelligence behavior in test game according to an embodiment of the invention, the present embodiment can
Suitable for trip centering artificial intelligence behavior situation about being tested, as shown in figure 1, the test described in the present embodiment play in people
The method of work intelligent behavior includes：
In step s 110, the artificial intelligence behavior tree in configuration file is modeled and obtains setting object.
Wherein, the artificial intelligence behavior tree can store in many ways, for example, can be deposited with extensible markup language document
Storage.The catalogue that the artificial intelligence behavior tree can obtain artificial intelligence behavior tree to be tested according to the configuration file is obtained,
The extensible markup language document for storing the artificial intelligence behavior tree is for example obtained according to the catalogue.
The configuration file specifies artificial intelligence behavior tree directory to be tested at present for tester, can configure many simultaneously
The catalogue of individual artificial intelligent behavior tree.Behavior tree directory can be configured freely, be stored in multiple catalogues all can while configure into,
After avoiding catalogue more, after artificial investigation and free group, the AI trees of some catalogues of omission are also convenient for tester and are known that at a glance
The AI trees tested at present are all in which position, without independent manual record.
In the step s 120, node fractionation is carried out to the tree object and obtains set of node, and the tree object is carried out
Branch is split and obtains Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively.
In step s 130, the node in the set of node is loaded into the game respectively and is tested, respectively will
Branch in the Bifurcation Set sets to be loaded into the game after the execution condition recorded and tested and by institute
Tree object is stated to set to be loaded into the game after the execution condition recorded respectively and tested.
In addition, the node of the tree object may include the child node set attribute for recording level of child nodes collection, if including
Child node set attribute, can carry out node fractionation to the tree object according to the child node set attribute of the node of the tree object and obtain
Set of node.
After completing the aforementioned steps, also the result that the test is obtained can be collected and/or is shown.For example, pin
Collect statistics are carried out to the result after each test execution, implementing result is fed back to tester.
The technical scheme of the present embodiment obtains setting object by being modeled the artificial intelligence behavior tree in configuration file,
Node is carried out to the tree object split to obtain set of node, and carry out branch to the tree object and split to obtain Bifurcation Set, and
The execution condition to the branch in the Bifurcation Set is recorded respectively, is then respectively loaded into the node in the set of node
Institute is loaded into after the execution condition tested in the game, respectively recorded branch's setting in the Bifurcation Set
State and tested in game and be loaded into the game after the tree object is set into the execution condition recorded respectively
It is middle to be tested, to be lifted in game test for the testing efficiency in terms of artificial intelligence behavior.
The method that Fig. 2 shows artificial intelligence behavior in test game according to another embodiment of the present invention, such as Fig. 2 institutes
Show, the method for artificial intelligence behavior includes in the test game described in the present embodiment：
In step s 201, configuration file is read, the AI behavior tree directories for needing to test are obtained.
The configuration file specifies AI tree directories to be tested for tester, and the catalogue of multiple AI trees can be configured simultaneously.
It should be noted that the configuration file can be configured freely, it is stored in multiple catalogues and can all keeps away while configure into
After having exempted from catalogue more, after artificial investigation and free group, the AI trees of some catalogues of omission are also convenient for tester and are known that mesh at a glance
The AI trees of preceding test are all in which position, it is to avoid use independent manual record.
In step S202, the XML file of single AI behaviors tree is read, is parsed, is modeled as the object of one tree.
The AI catalogues specified are traveled through, the xml document of first behavior tree is chosen, xml document is parsed, a tree pair is set up
It is all extra to include an attribute as each node of, behavior tree is in addition to oneself some base attribute in itself：Child node
Collection.By the child node set attribute, all nodes of node lower floor can be taken toward lower floor's traversal.
By this step, an xml text can be converted into a multiway tree, and each multi-fork tree node includes one
Diff after individual sub- set of node, convenience for tree is calculated.
In step S203, single AI behavior tree object is read, starts to split, records single functional node, records every
Branch and the execution condition of each level.
For example, reading the tree object modeled, start depth-first search traversal, split, do not repeated what is included in tree
Functional node and combined joint record, while each hierarchy node for recording every branch forms single branch, and remember
Record the branch and perform condition.
By this step, the tree node constituted in a behavior tree can be splitted out, classified, it is ensured that next step can be first
First tested for these basic nodes；The condition of the every branch recorded in addition, can be in ensuing branch testing
Wait, automatic reading conditions set condition.
In step S204, the loading test of the individual node of fractionation and result are obtained.
By all kinds of nodes splitted out, load into game, perform by single respectively, obtain after individual node execution
Return, the return that for example runs succeeded is true (True), performs failure and then returns to false (False), until it is all split out it is each
Class node is performed both by finishing and obtaining result.
This step is tested first against single node, records implementing result, and the node is included after aiding in
Branch execution results carry out problem exclusion.
In step S205, whether individual node has residue, if then return to step S204, otherwise performs step S206.
In step S206, the multiple branches split are read, game is loaded into and performs, obtain result.
The multiple branches just split are read, are set respectively after the condition recorded before every branch, setting condition, performs and divides
Branch, obtains branch's returning result.
Condition is performed by each branch recorded before reading, each branch of fractionation is performed after setting, can be for every
Bar branch is individually verified that after the execution of last whole tree, help positions investigation problem.
In step S207, judge whether branch has residue, if then return to step S206, otherwise perform step S208.
In step S208, according to each branch condition when splitting, condition is set, the entirety of single AI behavior tree is carried out
Perform, obtain situation and record that whether every branch is carried out.
This step is used for whole AI behavior tree of overall execution, and just every branch condition traversal is set one time respectively, obtained
Implementing result, checks whether that every branch is carried out.
The step can ensure that whole tree is loaded into after game, gives different condition, can be mapped to different branches, it is ensured that every
Branch can cover under given corresponding conditionses and go to.
In step S209, judge whether artificial intelligence behavior AI behavior tree files have residue, if then return to step
S203, otherwise performs step S210.
In step S210, summarized results is obtained, test terminates.
Repeat above procedure and travel through other AI behaviors tree directories.Summarized results, provides result displaying.The step is arranged
Three kinds of implementing results of every behavior tree before collect and shown, including all kinds of individual nodes, wall scroll branch and whole tree are held
Row result, is intuitively shown to tester.
Technical scheme described in the present embodiment, by the multiple behavior trees that will be played under behavior tree directory, is carried out single one by one
Behavior tree carries out tree modeling, and this tree is carried out branch's fractionation, and node is split.During fractionation, fundamental node and every are recorded
The execution condition of each level of branch and every branch；After fractionation, it is divided into the work(in two class nodes, basic combined joint and game
These nodes, are loaded into game by energy node automatically first, are tested for most basic individual node；Afterwards the branch of every tree
It is automatically loaded into game, this branches end node is performed in being played by acquisition performs return, to judge this branch
Whether run succeeded；The loading of whole tree is finally carried out, by the execution condition of the every branch recorded before, is set one by one,
Final implementing result is obtained, checks whether every branch can go to.Pass through such automatic fractionation and loading and collection knot
The mode of fruit, can efficiently test hundreds of behavior tree in a game, can solve above-mentioned to say four deficiencies very well：
In test in terms of being related to numerical value etc., numerical value can be accurately obtained, for example some behavior etc. is performed under model scope, it is ensured that
The accuracy test of numerical value, it is to avoid inaccurate on artificial, manual method obtains the time of degree of accuracy cost in other words
May be bigger；The problem of Automatic Combined of other schemes there may be before solving, such as omitting element branches causes to survey
Examination covering is not complete；To wall scroll branch since being started with most basic single behavior tree combined joint and game basic function node,
Whole tree is arrived again, can help follow-up wall scroll branch or whole tree in the case where ging wrong, orientation problem；Received with result
Collection and exposition, can intuitively show whole tree implementing result situation of single node list branch of tester's single tree.
Fig. 3 shows the block diagram of the device of artificial intelligence behavior in test game according to an embodiment of the invention, such as Fig. 3
It is shown, described in the present embodiment test game in artificial intelligence behavior device include modeling unit 310, split cells 320, with
And test cell 330.
The modeling unit 310 is configured to be modeled the artificial intelligence behavior tree in configuration file and set
Object；
The split cells 320, which is configured to split the tree object progress node, obtains set of node, and to institute
State the fractionation of tree object progress branch and obtain Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
The test cell 330 is configured to be loaded into the game by the node in the set of node respectively
It is loaded into the game and carries out after row test, the execution condition for respectively being recorded branch's setting in the Bifurcation Set
Test and set to be loaded into the game after the execution condition recorded respectively by the tree object and tested.
According to some embodiments of the present invention, the artificial intelligence behavior tree is stored with extensible markup language document.
According to some embodiments of the present invention, the node of the tree object includes being used for the son section for recording level of child nodes collection
Point set attribute；
The split cells 320 is used for：The tree object is entered according to the child node set attribute of the node of the tree object
Row node splits and obtains set of node.
On the device in above-described embodiment, wherein unit performs the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
The device of artificial intelligence behavior can perform the embodiment of the present invention one and implement in the test game that the present embodiment is provided
The method of artificial intelligence behavior, possesses the corresponding functional module of execution method and beneficial effect in the test game that example two is provided
Really.
Fig. 4 shows the block diagram of the device of artificial intelligence behavior in test game according to another embodiment of the present invention, such as
Shown in Fig. 4, the device of artificial intelligence behavior includes behavior tree acquiring unit 410, modeling in the test game described in the present embodiment
Unit 420, split cells 430, test cell 440 and result treatment unit 450：
Behavior tree acquiring unit 410, for obtaining artificial intelligence behavior tree to be tested according to the configuration file
Catalogue, the artificial intelligence behavior tree is obtained according to the catalogue.
The modeling unit 420 is configured to be modeled the artificial intelligence behavior tree in configuration file and set
Object.
The split cells 430, which is configured to split the tree object progress node, obtains set of node, and to institute
State the fractionation of tree object progress branch and obtain Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively.
The test cell 440 is configured to be loaded into the game by the node in the set of node respectively
It is loaded into the game and carries out after row test, the execution condition for respectively being recorded branch's setting in the Bifurcation Set
Test and set to be loaded into the game after the execution condition recorded respectively by the tree object and tested.
The result treatment unit 450 is configured to that the node in the set of node is being loaded into the trip respectively
Tested in play, the execution condition of the branch in the Bifurcation Set is configured respectively after tested and right respectively
After the execution condition of the tree object is tested after being configured, the obtained result of test is collected and/or
Displaying.
According to some embodiments of the present invention, the artificial intelligence behavior tree is stored with extensible markup language document.
According to some embodiments of the present invention, the behavior tree acquiring unit 410 is used for：Being obtained according to the catalogue is used for
Store the extensible markup language document of the artificial intelligence behavior tree.
According to some embodiments of the present invention, the node of the tree object includes being used for the son section for recording level of child nodes collection
Point set attribute；
The split cells 430 is used for：The tree object is entered according to the child node set attribute of the node of the tree object
Row node splits and obtains set of node.
The device of artificial intelligence behavior can perform the inventive method embodiment and be carried in the test game that the present embodiment is provided
The method of artificial intelligence behavior, possesses the corresponding functional module of execution method and beneficial effect in the test game of confession.
Fig. 5 shows electronic equipment according to an embodiment of the invention, as shown in figure 5, electronic equipment 500 may include processing
Device 510, memory 520, transmitter 530 and receiver 540.
Memory 520 can store the instruction for the processing of the control operation of processor 510.Memory 520 may include volatibility
Or nonvolatile memory, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM),
Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only storage (ROM) etc., the present invention
It is not limited in this respect.
Processor 510 can call the instruction stored in memory 520 to control associative operation.According to an embodiment, memory
520 store and control the instruction that operates below for processor 510：
Artificial intelligence behavior tree in configuration file is modeled and obtains setting object；
Node fractionation is carried out to the tree object and obtains set of node, and the tree object progress branch is divided
Support, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
The node in the set of node is loaded into the game respectively and tested, respectively by the Bifurcation Set
Branch sets to be loaded into the game after the execution condition recorded and is tested and set the tree object respectively
Put to be loaded into the game after the execution condition recorded and tested.
It can be readily appreciated that memory 520, which can also be stored, controls other operations according to embodiments of the present invention for processor 510
Instruction, repeat no more here.
Processor 510 also can control transmitter 530 and receiver 540 carries out signal transmitting and receiving etc..
Detailed description more than, those skilled in the art it can be readily appreciated that system according to embodiments of the present invention and
Method has one or more of the following advantages.
Embodiments in accordance with the present invention, the artificial intelligence behavior tree in configuration file be modeled obtain tree object it
It is preceding also to include：The catalogue of artificial intelligence behavior tree to be tested is obtained according to the configuration file, institute is obtained according to the catalogue
State artificial intelligence behavior tree.
According to some embodiments of the present invention, the node of the tree object includes being used for the son section for recording level of child nodes collection
Point set attribute；Obtaining set of node to the tree object progress node fractionation includes：According to the child node of the node of the tree object
Set attribute carries out node fractionation to the tree object and obtains set of node.
Embodiments in accordance with the present invention, are surveyed the node in the set of node is loaded into the game respectively
Examination, the execution condition of the branch in the Bifurcation Set is configured respectively after tested and respectively to the tree object
Execution condition be configured after tested after also include：The result that the test is obtained is collected and/or shown.
According to some embodiments, the present invention also provides a kind of non-transitorycomputer readable storage medium, such as including referring to
The memory of order, above-mentioned instruction can complete the above method by the computing device of device.For example, non-transitory is computer-readable
Storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..When depositing
Instruction in storage media by the computing device of terminal when so that terminal is able to carry out following methods：To the people in configuration file
Work intelligent behavior tree, which is modeled, to be obtained setting object；Node fractionation is carried out to the tree object and obtains set of node, and to described
Tree object carries out branch's fractionation and obtains Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively；Point
The node in the set of node is not loaded into the game and tested, respectively by the setting institute of branch in the Bifurcation Set
It is loaded into after the execution condition of record in the game and is tested and the tree object is set what is recorded respectively
It is loaded into the game and is tested after the execution condition.
It will be understood by those skilled in the art that accompanying drawing is the schematic diagram of example embodiment, module or flow in accompanying drawing
Not necessarily implement the present invention necessary, therefore cannot be used for limiting the scope of the invention.
It will be appreciated by those skilled in the art that above-mentioned each module can be distributed in device according to the description of embodiment, also may be used
To carry out respective change uniquely different from one or more devices of the present embodiment.The module of above-described embodiment can be merged into
One module, can also be further split into multiple submodule.
The exemplary embodiment of the present invention is particularly shown and described above.It should be understood that public the invention is not restricted to institute
The embodiment opened, on the contrary, it is intended to cover comprising various modifications in the spirit and scope of the appended claims and wait
Effect arrangement.
Claims (10)
1. a kind of method for testing artificial intelligence behavior in game, it is characterised in that including：
Artificial intelligence behavior tree in configuration file is modeled and obtains setting object；
Node is carried out to the tree object split to obtain set of node, and carry out branch to the tree object and split to obtain branch
Collection, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
The node in the set of node is loaded into the game respectively and tested, respectively by the branch in the Bifurcation Set
Set to be loaded into the game after the execution condition recorded and tested and the tree object is set into institute respectively
It is loaded into the game and is tested after the execution condition of record.
2. the method as described in claim 1, it is characterised in that the artificial intelligence behavior tree in configuration file is modeled
Obtain also including before tree object：
The catalogue of artificial intelligence behavior tree to be tested is obtained according to the configuration file, obtains described artificial according to the catalogue
Intelligent behavior tree.
3. the method as described in claim 1, it is characterised in that the artificial intelligence behavior tree is with extensible markup language document
Storage.
4. method as claimed in claim 3, it is characterised in that the artificial intelligence behavior tree is obtained according to the catalogue and wrapped
Include：Extensible markup language document for storing the artificial intelligence behavior tree is obtained according to the catalogue.
5. the method as described in claim 1, it is characterised in that the node of the tree object includes being used to record level of child nodes
The child node set attribute of collection；
Obtaining set of node to the tree object progress node fractionation includes：According to the child node set attribute of the node of the tree object
Node fractionation is carried out to the tree object and obtains set of node.
6. the method as described in claim 1, it is characterised in that the node in the set of node is being loaded into the trip respectively
The game is loaded into after the execution condition tested in play, respectively recorded branch's setting in the Bifurcation Set
It is middle tested and by it is described tree object set respectively be loaded into after the execution condition recorded in the game carry out
Also include after test：The result that the test is obtained is collected and/or shown.
7. a kind of device for testing artificial intelligence behavior in game, it is characterised in that including：
Modeling unit, obtains setting object for being modeled the artificial intelligence behavior tree in configuration file；
Split cells, obtains set of node, and carry out branch to the tree object for carrying out node fractionation to the tree object
Fractionation obtains Bifurcation Set, and the execution condition to the branch in the Bifurcation Set is recorded respectively；
Test cell, for the node in the set of node is loaded into the game respectively tested, respectively will be described
Branch in Bifurcation Set sets to be loaded into the game after the execution condition recorded and tested and by the tree
Object sets to be loaded into the game after the execution condition recorded respectively and tested.
8. device as claimed in claim 7, it is characterised in that described device also includes behavior tree acquiring unit, for right
Artificial intelligence behavior tree in configuration file is modeled before obtaining tree object, obtains to be tested according to the configuration file
The catalogue of artificial intelligence behavior tree, the artificial intelligence behavior tree is obtained according to the catalogue.
9. device as claimed in claim 7, it is characterised in that described device also includes result treatment unit, for respectively
Node in the set of node is loaded into the game and tested, the branch in the Bifurcation Set set remembered respectively
It is loaded into after the execution condition of record in the game and is tested and the tree object is set into recorded institute respectively
State after being loaded into and being tested in the game after execution condition, the obtained result of testing is collected and/or opened up
Show.
10. a kind of electronic equipment, it is characterised in that including：Processor；Memory, is stored for processor control as weighed
Profit requires the instruction of any one of 1-6 operations.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107875632A (en) * | 2017-12-06 | 2018-04-06 | 广州多益网络股份有限公司 | Realize the method, system and artificial intelligence behavior editing machine of artificial intelligence behavior |
| CN108664287A (en) * | 2018-05-11 | 2018-10-16 | 腾讯科技（深圳）有限公司 | Export method, apparatus, terminal and the storage medium of operation guide |
| CN109684217A (en) * | 2018-12-25 | 2019-04-26 | 网易（杭州）网络有限公司 | A kind of method and device of computer games check, electronic equipment, storage medium |
| CN110898433A (en) * | 2019-11-28 | 2020-03-24 | 腾讯科技（深圳）有限公司 | Virtual object control method and device, electronic equipment and storage medium |
| CN112190945A (en) * | 2020-10-22 | 2021-01-08 | 网易（杭州）网络有限公司 | Game data processing method and device, computer readable storage medium and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105068929A (en) * | 2015-08-06 | 2015-11-18 | 网易（杭州）网络有限公司 | Test script generation method, test script generation device, testing method, testing device and testing system |
| CN105183445A (en) * | 2015-07-10 | 2015-12-23 | 珠海金山网络游戏科技有限公司 | Visual design system of artificial intelligence of game on the basis of XML (Extensive Markup Language) |
| US9405665B1 (en) * | 2015-05-22 | 2016-08-02 | Amazon Technologies, Inc. | Application testing based on user input captured during a trial period and priority scheme analysis |
| CN105988934A (en) * | 2016-02-01 | 2016-10-05 | 腾讯科技（深圳）有限公司 | Automatic detecting method for mobile game and automatic detecting device for mobile game |
| CN106339302A (en) * | 2016-08-22 | 2017-01-18 | 腾讯科技（深圳）有限公司 | Test method and device for client |
-
2017
- 2017-05-11 CN CN201710328835.3A patent/CN107080945B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9405665B1 (en) * | 2015-05-22 | 2016-08-02 | Amazon Technologies, Inc. | Application testing based on user input captured during a trial period and priority scheme analysis |
| CN105183445A (en) * | 2015-07-10 | 2015-12-23 | 珠海金山网络游戏科技有限公司 | Visual design system of artificial intelligence of game on the basis of XML (Extensive Markup Language) |
| CN105068929A (en) * | 2015-08-06 | 2015-11-18 | 网易（杭州）网络有限公司 | Test script generation method, test script generation device, testing method, testing device and testing system |
| CN105988934A (en) * | 2016-02-01 | 2016-10-05 | 腾讯科技（深圳）有限公司 | Automatic detecting method for mobile game and automatic detecting device for mobile game |
| CN106339302A (en) * | 2016-08-22 | 2017-01-18 | 腾讯科技（深圳）有限公司 | Test method and device for client |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107875632A (en) * | 2017-12-06 | 2018-04-06 | 广州多益网络股份有限公司 | Realize the method, system and artificial intelligence behavior editing machine of artificial intelligence behavior |
| CN108664287A (en) * | 2018-05-11 | 2018-10-16 | 腾讯科技（深圳）有限公司 | Export method, apparatus, terminal and the storage medium of operation guide |
| CN109684217A (en) * | 2018-12-25 | 2019-04-26 | 网易（杭州）网络有限公司 | A kind of method and device of computer games check, electronic equipment, storage medium |
| CN109684217B (en) * | 2018-12-25 | 2022-06-14 | 网易（杭州）网络有限公司 | Game detection method and device, electronic equipment and storage medium |
| CN110898433A (en) * | 2019-11-28 | 2020-03-24 | 腾讯科技（深圳）有限公司 | Virtual object control method and device, electronic equipment and storage medium |
| CN110898433B (en) * | 2019-11-28 | 2021-09-03 | 腾讯科技（深圳）有限公司 | Virtual object control method and device, electronic equipment and storage medium |
| CN112190945A (en) * | 2020-10-22 | 2021-01-08 | 网易（杭州）网络有限公司 | Game data processing method and device, computer readable storage medium and electronic equipment |
| CN112190945B (en) * | 2020-10-22 | 2024-03-15 | 网易（杭州）网络有限公司 | Game data processing method and device, computer readable storage medium and electronic equipment |
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|---|---|
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