KR100700086B1 - Method and system for an electronic agent traveling based on profile - Google Patents

Abstract

A method and system are disclosed for automatically moving an electronic representative from a source computer to a destination computer. The method consists of monitoring a move request, generating a list of possible destinations, determining priorities according to the importance of the move, and finally inserting the move action on the stack. A system for performing the method over a data network is also disclosed and claimed.

Description

Method and system for an electronic agent traveling based on profile

1 is a block diagram of a preferred embodiment of the present invention.

2 is a flow chart of one embodiment of the method of the present invention.

Figure 3 is a block diagram of one embodiment of a server of the present invention.

4 is a block diagram of one embodiment of an artificial intelligence service of the present invention;

5 is a flow diagram of one embodiment of a method according to the present invention.

6 is a flow diagram of one embodiment of a method according to the present invention.

Figure 7 is a block diagram of a general purpose computer to which one embodiment of the method and apparatus of the present invention can be applied.

The present invention relates to a method of movement of an electronic agent through a data network, and more particularly, to a method and system of an artificial intelligence algorithm for the method of movement.

In the related art, an electronic agent has been referred to by various forms and names such as a virtual pet, an electronic pet, and performs the behavior of a virtual pet. These activities include common "pet" behaviors such as eating, playing ball, playing objects, and scraping.

This conventional electronic agent resides on one computer, shows little information and has little interest in the user's actions. Electronic agents were often implemented in the form of "avatars," that is, virtual pets, virtual entities, etc. on web pages. Such web pages are traditionally very static and only allow a limited degree of interaction.

There are various problems in the current electronic agent implementation.

The first problem is that an electronic representative exists only on the user's computer. This means that you can't move an electronic representative from your computer to another location. Conventional electronic agents are not aware of the wider electronic world at all, and programming limitations hinder web navigation, various actions, and work performance outside the user's computer.

 The second problem is that an electronic agent cannot interact with network related events on behalf of a user. In fact, an electronic agent cannot help the user by doing any external action (eg, making friends, finding news of interest, making an appointment, etc.).

The third problem is that the amount of knowledge of the electronic representative is limited to the ability of the electronic representative, such that the knowledge of the electronic representative is limited to the current programmed state and the knowledge can only be acquired from the user's computer. Electronic agents are isolated and cannot learn from other computers. Isolation here means that electronic agents cannot learn new skills from other agents or computers or communicate with each other about actions that the user must command.

Therefore, there is a need for an intelligent pet moving method and system for solving the above-mentioned problems.

The present invention provides a method for an electronic agent to move between computers. The method involves a series of decision actions to determine the destination of the electronic representative.

An "electronic agent" can be expressed in a variety of ways. The most commonly seen form of user is a software program in the form of "avatar". Avatars can take many forms and are called many names. This form and name includes an interactive entity displayed on a screen displaying a virtual pet, a virtual agent, an electronic pet, or some other kind of information.

Similarly, each "electronic agent" has an owner, which is named "user" in this specification. In a preferred embodiment, the agent-to-user relationship has a many-to-one relationship. In other words, one user can have multiple agents. The user does not necessarily need to be a person, but may be another software program. In another embodiment, one user may share a representative.

There are two steps in determining the destination of an electronic representative. The first step is to decide whether to move to another computer. This decision is made using either a simple event-based algorithm or a time-based algorithm. This algorithm is used to investigate requests and events that may affect electronic agents. An electronic agent can have a large number of potential actions, one of which involves moving to another computer. If the algorithm determines that the next operation is actually a "move" operation, the next step begins. The second step is to determine the destination. Once the electronic representative is determined to move, all possible destinations are considered as candidates.

There are various reasons for the movement of electronic agents. Likewise, there are many reasons for a user to move his electronic representative to another user. Movement decisions are performed by server AI (artificial intelligence) and client AI. These two artificial intelligence systems, each of which can be installed on the same computer or on different computers, usually work in concert to ensure the actions and actions of the appropriate electronic representative.

If the server AI and client AI are separated into different entities for client / server configuration reasons, the server AI assumes a slightly different decision from the client AI. To simplify the example, the following description assumes that the client AI and the server AI, although not necessarily so, are separate entities that exist on separate machines.

The server AI makes a decision, such as investigating the unique "request" of the electronic agent. Electronic agents are, to some extent, municipalities, so the server AI can make decisions without user input. The server AI considers both the user profile and the electronic agent profile to determine what action or action to perform next. For example, if the server AI examines all of its profiles and determines that the user has a strong tendency to make friends, the server AI may allow an electronic representative to connect the other computer to make a "friend" with the user of the other computer. You can decide to visit. Another example is the situation in which the server AI of the electronic agent decides to send the electronic agent to one or more other electronic agents to "play games" with each other.

Client AIs can make different kinds of decisions than server AIs, but they are still connected to affect electronic agents. Client AI monitors user behavior and pays special attention to user behavior. For example, the user may choose to pick up the electronic representative and drop it on another part of the screen. As another example, a user may interact with his or her calendar and electronic representative to perform other kinds of operations. In these various examples, the pet will respond according to the client AI's decision. These actions may include bothering, chasing a tennis ball, running away to talk to other friends about changing the calendar, and the like. In terms of movement, the client AI may decide that the event that occurred is so important that it will call or evict the electronic agent from the client.

Electronic agents are always dependent on the stack. The stack is where a series of actions that an electronic agent must perform sequentially. Each operation is completed for a predetermined time. When one of the action items to be performed is completed, this action is removed from the queue, and the next action becomes the action item.

Client AI and server AI work with the current stack in making decisions. When one of the two AIs makes a decision, the action is inserted into the stack. The insertion position depends on the importance of the item. In the case of a very urgent action item, it is inserted at the beginning of the order, or the current action item in the order is immediately taken away by the new emergency action item. For less important action items, they are inserted at the end or last of the line.

Another component that enables the behavior determined by the AI is an event handler. These event handlers can be categorized as client event handlers and server event handlers, each of which may or may not be separate. This case handler is always listening to all cases. Incidents include network incidents, user cases, and agents. Event handlers collect important information and pass it on to AI subroutines to perform appropriate actions.

An electronic agent is an entity that has basic characteristics that can control its own operation. This "DNA" is the basic block for forming the intelligence, desires and characteristics of the electronic agent. Electronic representatives are born with a set of characteristics that change and evolve over time. In addition, over time, each electronic agent may collect a unique history of performed actions, places visited, friends made, completed tasks, skills learned, items obtained, and the like.

The behavior of an electronic agent is interpreted in part by his own internal measures. These internal measures change over time, each with one or more "thresholds" (thresholds). Once this scale is sufficiently changed to reach one of the thresholds, an event can occur that can be handled by the event handler. Internal measures may be connected to each other or completely independent of each other. Examples of internal measures include: craving for food, craving for relationships, craving to make more friends for users, craving to make more friends for yourself, craving to move to other computers, and craving to play. , A desire for scheduling to make the user more interesting, a desire to select a good book for the user, and the like.

Electronic representatives can travel anywhere the data network is connected. The destination can be any kind of computer system (ie, a PC, a game console system, a portable mobile communication, a vehicle display, a television, a PDA, or other network display). Electronic representatives can also move to atypical clients such as robots.

The way the server and client work together is similar to the relationship between "soul" and "ghost". The electronic agent's "spirit" always remains on the server, and the client only receives the "welcome" (ie physical representation) of the mind. This indicates that when the client is inactive, the "welcome" disappears but the "spirit" remains on the server, creating another "welcome" to the client in the future.

An electronic agent may be in more than one place at a time or in only one independent place at a time. If an electronic agent can only be in one place at a time, it adds to the "trust" that the electronic agent is more like a moving animal. For example, Joe's e-agent could be likened to a cat who stayed at Joe's desktop for a while and then moved to her desktop to play with Joe's girlfriend's e-agent.

The electronic representative acts as an agent for the user. The user may be very busy doing other tasks, at which point the electronic representative may choose to perform the particular task. Another possibility is that the user is unaware of the various possibilities that may exist for the user. On the other hand, the user's electronic representative can always explore this possibility on behalf of the user.

For example, an electronic agent can be a facilitator in an electronic social network. An electronic society network is a software program that allows people in different places to socialize, socialize, make business contacts, and make love. One problem with e-social networks is that users are ashamed, unfamiliar with, or unaware of how to expand their social networks. This problem can be cured by extending the social network of the user while the electronic agent actively moves the network on behalf of the user. As already explained, the electronic agent makes a movement decision based on the user profile. Thus, it is possible to identify potential expansion of social networks. If the electronic agent is implemented in the form of a cute pet, the electronic agent can visit other social network "candidates" in a gentle and un-attack manner. The premise of this is that the user is more favored than having a cute cat visit his screen and ask him to text him. Thus making pets friends on behalf of users is a much more effective way to expand their social networks.

A more complete understanding and advantages of the present invention will be better understood by the following detailed description with reference to the accompanying drawings.

System overview

1 is a block diagram of one embodiment of a computer system in accordance with the present invention. In FIG. 1, the computer system includes an electronic agent 155 connected with the server 130. The server 130 is connected to one or more clients 100, 105, 120, 125. Each client (eg, 100) may contact the electronic representative 155 through the server 130. The server 130 determines the destination of the electronic agent 155. As a result, the electronic agent 155 may exist in one or more clients 100. The server 130 or the origin client may decide to move the electronic representative to other clients 100, 105, 120, and 125. When the electronic agent leaves the origin client and moves to the destination client 100, 105, 120, 125, the electronic agent stays there until the server 130 or the client decides again to move the electronic agent.

The client 100 may be provided with various display devices 135, unlike a traditional computer. Such display devices 135 include, but are not limited to, portable computers, mobile phones, wireless devices, and the like.

The server storage medium 135 may be a storage device of a known type (eg, hard disk, flash memory, micro drive, hard drive, floppy disk, optical disk, DVD, CD-ROM, magneto-optical disk, RAM, EPROM, EEPROM, magnetic or optical cards, and other forms of storage media capable of storing electronic commands / data) can be used. The server storage medium 135 may be located in the same physical system as the server 130.

In a computer system such as the embodiment of FIG. 1, server 130 and client 100 are represented as two separate general purpose computers (see FIG. 7). It can be connected to a network to form a single general purpose computer, and connected to a bus (see FIG. 7) instead of using the data network as the Internet. That is, although the server and client are shown as separate components in the embodiment of FIG. 1, these components may be implemented as virtually one general purpose computer as shown in FIG. 7.

 1, the data network is connecting the server 130 and the client 100. The data network may be implemented as an internet, intranet, extranet, wireless network, Ethernet bus, and other types of connection networks capable of transferring data between the server 130 and the client 100. In this embodiment, the data network is configured as the Internet capable of transmitting data from a geographic location different from the area where the server 130 and the client 100 are located. Server 130 includes a server processor (not shown), which may be a well known central processing unit (CPU) or microprocessor (either a single microprocessor or multiple microprocessors). According to an embodiment of the present invention, the processor of the server 130 generates a series of electronic agent 155 behaviors based on the user's profile 325 and / or the electronic agent's profile 320. Accordingly, as described in detail below, the user 165 may provide personalized data through the client 100 in the form of a profile 170.

3 illustrates a preferred embodiment of server system 130. The server 130 is a main part for determining the behavior and movement of the electronic agent 155. The server 130 includes a service for adding various functions to the functions of the electronic agent 155. The basic service includes an electronic agent profile 320, a user profile 325, inventory management 330, user management 335, and communication service 340. The agent profile 320 service is responsible for maintaining all manner of behavior, needs, desires, history, and extended profile data of the electronic representative 155. User profile 325 is a service that maintains all manner of user behavior, needs, desires, hobbies, interests, features, attributes, history, and extended profile data. List management 330 is a service for maintaining a list of all objects available to various electronic agents and users. User management 335 is a service related to information and billing about the user and the corresponding account. The communication service 340 is a service for communication with each other. In addition to these basic service layers, a database service 345 and a client communication layer 315 are included. The database service allows the server to access the database 350 (which includes user data 355 and delegate data 360). The user database 355 is an area commonly included in the user profile 325 service, and the agent database 360 is an area commonly included in the electronic agent profile 320 service.

The logging service 300 maintains a log of the actions of the server 130 and is managed by the administrator to log all the appropriate information derived from the actions of the client and / or server.

The client communication layer 315 is a common service that acts as an interface between the client and the server. This serves as a direct interface to the data network 160 connected to the client 100.

In another embodiment, the server 130 may perform more services in addition to the basic service described above. This server may be used by the electronic representative to perform various services that benefit the user 165 or the electronic representative program itself. These services include shopping, appointments, blogging, games, and other extended services.

4 is a block diagram illustrating a preferred embodiment of an artificial intelligence (AI) engine. The electronic agent 155 is stored in the server 130, but since most of the time is consumed by each client 100, various AI functions that operate simultaneously are required. As already mentioned, since the client 100 and server 130 can actually be one general purpose computer, these AI functional parts can be one at a time.

Server 130 includes a service called server AI 480. The server AI 480 plays a role in controlling the behavior and operation of the electronic agent 155. The server AI 480 mainly serves to move the destination of the electronic agent 155, but this is not the only role. This role is played using the movement algorithm 405. Server AI 480 performs many other important stateful operations. These actions include game action 410, which is a decision to request an agent's presence at the time of the game, "the decision of the person to meet" 415, which is a social network decision, and whether an electronic agent should meet with another electronic agent at a particular place. Group and meeting decisions 420, which are a set of parameters, and other server-side decisions 425. Once these decisions are made and the server 130 decides to act or act, the act is passed to and inserted into a stateful stack 465. This stateful stack 465 differs from the session stack 470 in that it disappears every time the client 100 logs off.

Similar to server AI 480, client AI 485 makes decisions that affect the operation and behavior of electronic representative 155. These decisions are further related to specific client-side actions, and conversations with user 165 frequently occur.

Client AI 485 is only activated when client 100 is activated. In other words, the session is started when the client 100 is "On". The session performs a series of actions with the electronic representative 155. The session continues the decision while the client 100 is on. This decision is made by client AI 485 and passed to session stack 470. The session stack 470 also receives a new item at the server 130, which serves to determine the stateful behavior passed from the stateful stack 465.

Client AI 485 may make decisions that are independent of permanent "states." These decisions include items such as sleep 435, eating 440, communication with the user 445, communication with other electronic agents 450, communication method 455, and other client-side decisions 460. do.

Once the client 100 is offline or inactive, such as being turned off, the session stack 470 is empty.

Certain actions that are inserted into the session stack 470 by the client AI 485 may also be replicated to the server 130 and inserted into the stateful stack 465.

5 is a preferred embodiment of the process flow of the present invention. The whole idea is that an electronic agent acts as a semi-autonomous to perform actions intelligently on behalf of the user, whether remote or near.

First, the process begins by the user performing an action on the client system (500). This act is assumed to be performed only when the electronic representative 155 is activated. The user then performs the acts affecting the electronic representative (505). At this time, the system controlled by the AI algorithm requests subsequent actions (510). These actions are delivered to the stack in order of priority (515). Finally, the electronic representative sequentially executes the actions in the stack (520).

7 is a schematic structural block diagram of a general purpose computer used to implement one embodiment of the present invention. This general purpose computer operates as either the server 130 or the client 100 of FIGS. 1, 3, and 4 described above. The general purpose computer of FIG. 7 includes a processor 730 and a memory 725. Processor 730 may include one microprocessor, or may include multiple microprocessors to construct a multiprocessor system. Unlike the above-described embodiments, the processor 730 includes the server processor and client processor of FIGS. 1, 3, and 4. The memory 725 partially stores instructions and data executed by the processor 730. If the system of the present invention is implemented in whole or in part in software (including computer instructions), memory 725 will store executable code in operation. The memory 725 may include banks of dynamic random access memory (DRAM) as well as high speed cache memory.

The computer of FIG. 7 also includes mass storage device 735, peripheral device 740, acoustic means 750, input device 755, portable storage drive 760, graphics device 770, display means 785. It includes. For simplicity, the components of FIG. 1 are shown as being connected via a network (ie, means of transmission), but in this single general purpose computer, the components may be connected by a bus 780. For example, processor 730 and memory 725 may be connected to a local microprocessor bus, and mass storage 735, peripheral 740, portable storage drive 760, graphics device 770 may be one or more devices. It can be connected to an input / output (I / O) bus. The mass storage device 735, which is implemented as a magnetic disk drive or an optical disk drive, is a nonvolatile storage device that stores data and instructions used by the processor 730 in one embodiment of the present invention. The mass storage device 735 includes a storage medium in one embodiment of the invention, and in another embodiment a server storage medium and a client storage medium. In another embodiment, mass storage device 735 includes the first and second algorithms of one embodiment of the present invention. Computer instructions for executing the methods of the present invention may also be stored in the processor 730.

The portable storage drive 760 works with portable nonvolatile storage media, such as flash memory, wireless storage, floppy disks, or other computer readable media. The data and code can be entered into the computer system of FIG. And output. According to one embodiment of the method according to the present invention, computer instructions are stored in a portable storage medium and input to the computer system 790 via the portable storage medium drive 760. Peripheral device 740 is intended to provide additional functionality to computer system 790 and may include any type of computer assisted device, such as an input / output (I / O) interface. For example, the peripheral device 740 may include a network interface card that interfaces the computer system 790 with a network, a modem, and the like.

The input device 755 is part of a user interface, and includes a character / numeric keypad for inputting letters / numbers and other key information, or a pointing device such as a mouse, a trackball, a stylus, and a cursor movement key. Such devices serve as an additional means for interfacing with the customized medium list and the customized medium of the method according to the invention. In order to display text and graphic information, the computer of FIG. 7 includes a graphic device 770 and display means 785. Display means 785 includes a cathode ray tube (CRT) display, a liquid crystal display (LCD), other suitable display or display means for allowing a user to view a customized media list or customized media. can do. The graphic device 770 receives and processes text and graphic information to output it to the display means 785. The display means 785 is an actual component for providing the customized media list of the present invention. This is because the method of the present invention can be realized directly and practically through the display means 785. The computer system of FIG. 7 also includes an acoustic system 750. According to one embodiment, the sound means 750 comprises a sound card for receiving a sound signal from a microphone which may be included in the peripheral device 740. According to another embodiment, the acoustic system 750 may be a processor (eg, a processor 730) that processes sound. In addition, the computer of FIG. 7 includes an output device 745. Suitable output devices include speakers, printers, and the like.

Devices included in the computer system of FIG. 7 are generally used in general purpose computers, and are intended to represent a wide range of computer components well known in the art. The system of Fig. 7 shows one platform structure that can be used to practically implement the method of the present invention, and various other platforms (e.g., Apple-based Macintosh-based platform, Nintendo and Sony's video game platform) (Eg Nintendo DS, Sony PSP, etc.), mobile phone platforms with graphical user interfaces (GUIs), platforms with different bus structures, network platforms, multiprocessor platforms, other personal computers, workstations, mainframes, navigation systems, etc. ) Can also be used.

In another embodiment, the present invention may also include a computer program product, which is a computer recording medium having recorded computer instructions that can be programmed to enable a computer to carry out the method of the present invention. This storage medium can store flash memory, hard disk, floppy disk, optical disk, DVD, writable DVD, CD-ROM, magneto-optical disk, RAM, EPROM, EEPROM, magnetic or optical card, and other forms of electronic storage. Storage media may include, but are not limited to.

Example for understanding

2 is a process flow diagram of the method of the present invention. An example for understanding one embodiment of the method and embodiment of the present invention in FIG. 2 begins with a user (eg, user 165 of FIG. 1) logging on to a client 100 running an application that enables an electronic representative 155. (200).

Once the client 100 is activated after step 200, the client 100 determines whether the electronic representative 155 currently exists in another client (205). If the electronic representative 155 is actually on another computer, the client 100 recalls the electronic representative (210). In the next step, or if the electronic agent is not at another computer in step 205, the electronic agent appears at the user's client (215). The user then continues to operate at the client 100, which may or may not affect the state of the electronic representative 155. The "cycle" of the operation performed by this user occurs at step 220. While the user is performing an action, the event handler 640 continues to create a series of actions to execute. Some of these operations may or may not be involved in moving to another computer. Since the example above illustrates movement, these actions and decisions based on movement are only closely related.

In this embodiment, the electronic agent 155 has three cases that may affect the movement situation. In step 225, a first move check is made against an internal threshold for the move desire. This can be expressed differently as the unique needs and desires for the electronic agent to move. This desire may increase over time while the electronic representative is not moving. This works similarly to "hunger", such as becoming increasingly hungry when an electronic agent has not eaten for a long time. Once a certain threshold is reached, the electronic representative automatically begins to look for ways to cure "hunger". In this case, "hunger" is the desire to move. If the threshold is reached in step 225, the flow moves to the next step 240.

In step 240, the electronic representative determines the destination range. As shown in profile 170, a range of movements representing destination preferences may vary. Preference ranges include friends, friends of friends, randoms, customers, and agents' own friends. The user may control some or all of the weights and priorities for these preferences.

Once the range is determined in step 240, in step 245 it is determined with certainty which users to visit within the defined range. This is done by examining a list of all users who fall within the destination range. As another example, it should be appreciated that a user in the destination range may not want to visit a particular electronic representative for a variety of reasons. This may include, but is not limited to, rejection of certain electronic agents, specifying filters to filter out electronic agents within a certain range, or when the client is full of electronic agents or is too busy to add an electronic agent. Does not. After the list is examined, the list is sorted in order of preference and the variance algorithm makes the last choice, weighted by preference.

Once the destination is determined in step 245, in step 255 a move operation is inserted into the stack. If the move operation is urgent, it may be inserted in the stack with high priority. If the electronic agent is busy doing a higher priority task, the move is inserted at the bottom of the stack. Finally, in step 260, the electronic agent moves to the destination.

If the electronic agent has not reached the movement threshold in step 225, it is checked in step 230 whether there is a request from another user. There are a number of cases that can occur to trigger this behavior, such as when an electronic representative's "friend" arrives online, at another place where an explicit request from another user or the electronic representative's attendance is requested. Action is included. This last possibility is discussed in more detail in step 235 where the electronic agent receives a request from another electronic agent.

If either of these steps 230 or 235 is true, then at step 250 the electronic agent will determine the destination address. This is a specific location based on the origin of the request. Thus, there is no need to perform the algorithm described in steps 240 and 245.

Figure 6 shows an embodiment related to the method of handling a stack in the present invention. Stack 475 contains a series of acts that queue the electronic agent 155 to execute. In this example, server AI 480 and / or client AI 485 determine the actions to be placed on the stack. The first item to be executed on the stack is idle animation (605), next is a food search operation (610), next is talking to another electronic agent (615), next gameplay (620), Next is a dinner reservation for the user (625), next is a joke with the user (630) and other actions.

The action currently being executed is the one located at the beginning of the stack. In the example of FIG. 6, the current behavior is idle animation 605. Each action may be performed immediately, but may take several seconds, minutes, hours, or days. The current act may be a number of acts. For example, an electronic agent may make a dinner reservation while playing a game with the user.

The event handler 640 is constantly monitoring all events (645) and decides what is appropriate to send to the stack 475. In this example, the stack is examining all current meters of the electronic representative 155. These measures include, but are not limited to, thirst, hunger, the desire to communicate with humans, the desire to play, the desire to help their users' health, freeness, and the like.

While monitoring the current state (645) when the movement threshold is reached or when the remote request is on (650), the event handler creates a new movement operation (655). Priority is added to all operations so that they are placed in order of priority when placed on the current stack.

While the invention has been described above by way of specific embodiments and examples, modifications and improvements therefrom are intended to be within the scope of the invention as defined in the following claims.

As described above, in the present invention, since the user can work by moving the electronic agent from his computer to another place, it is possible to navigate the web, perform various actions, perform tasks, etc. outside the user's computer, Interaction is possible so that you can perform any external action on your own, such as making friends, finding news of interest, or making promises. In addition, according to the present invention, since the electronic agent is not isolated in the user's computer, new capabilities can be learned from other agents or the computer about the actions to be instructed to the user.

Claims (20)

A method of moving an electronic agent based on a profile in which an electronic agent moves from an origin client system to a destination client system through an electronic network, Generating, at a processor of the server, an electronic agent based on the user's profile input by the electronic agent user; Displaying the electronic representative on the origin client system where a server is connected to the electronic network; Determining, by the server, a destination client system to which the electronic agent is to move, connected to the electronic network; And a server displaying the electronic representative on the destination client system. The method of claim 1, The electronic agent moving method based on the profile, characterized in that the virtual pet. The method of claim 1, The electronic agent movement method based on the profile, characterized in that the cartoon character. The method of claim 1, And the electronic agent is an electronic agent based on a profile, characterized in that the Internet. The method of claim 1, And hiding the electronic agent by the user's selection from the source client system. In the method of determining the next destination for the electronic agent to move, Generating by the user of the electronic representative input his profile; Generating the electronic representative in the server according to the profile input by the user; Determining, by the server, a new destination based on the preference input by the user; Inserting the new destination into a future destination row according to priority; And determining, by the server, a next destination by selecting a destination having the highest priority in the future destination row arranged in the priority order. The method of claim 6, And determining the new destination is based on the profile. The method of claim 6, And determining the new destination is based on a request by the user. The method of claim 6, And determining the new destination based on a request of another user of another electronic agent. The method of claim 6, And determining the new destination further comprises determining a priority of the new destination. The method of claim 6, Determining the new destination, Generating a list of possible destinations for the electronic representative; And And selecting a new destination from the list of possible destinations. The method of claim 6, The electronic agent moving method based on the profile, characterized in that the virtual pet. The method of claim 6, The electronic agent movement method based on the profile, characterized in that the cartoon character. The method of claim 6, The electronic agent is an electronic agent moving method based on a profile, characterized in that the user's photo real picture. The method of claim 6, The electronic agent moving method based on the profile, characterized in that having an electronic agent profile. The method of claim 15, And determining a new destination is performed based on the profile of the electronic agent. A system for moving an electronic agent, A source client terminal displaying the electronic agent before the electronic agent moves; A destination client terminal displaying the electronic representative after the electronic representative moves; A server including a storage medium storing the electronic agent's profile and a destination column, wherein the server determines the next destination of the electronic agent's profile based on the electronic agent's profile; A mobile agent based on a profile comprising a data network connecting said server, source client terminal, and destination client terminal. The method of claim 17, And the destination client terminal and the source client terminal are desktop computers. The method of claim 17, And said data network is the Internet. 18. The mobile system of claim 17, wherein the electronic agent is a virtual pet.

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