Agent system and information processing method therefor

Abstract

The invention relates to an agent technique for generating an excellent plan. Action definitions and script are separately stored, and consequently the script can be written without being restricted by the language form of the action definitions. The knowledge update by information acquired by implementation is incorporated in an agent function, whereby it is unnecessary to describe the operations concerning to update in the plan. By diversifying the contents of re-planning, the flexibility of operation by an agent is enhanced. When an agent moves between nodes, the agent and nodes mutually judge the reliabilities of the nodes of the destination and source, improving the safety of information processing. Since the restoring information is stored when an agent moves, the agent which suspends the activity due to failure of a node can resume the operation.

Description

[0001] This application is a divisional application with the application number 99802071.0 filed on January 11, 1999, entitled "Agent System and Its Information Processing Method". technical field [0002] The present invention relates to the improvement of the technique of processing the information scattered on the network by using an agent, especially relates to improving the flexibility and stability of the agent's actions. Background technique [0003] [Agent system] [0004] Hitherto known agent systems are techniques for processing information distributed over computer networks. The so-called agent is a processing unit on the software, which can automatically act according to the surrounding conditions. The proxy system is a system that performs processing such as information collection while moving the proxy through the nodes constituting the network as needed. The so-called node here is a logical unit that constitutes a network, and there may be many on one machin...

AI Technical Summary

Problems solved by technology

Until now, since such information with different purposes was mixed in the plan and could not be separated, the operation of constructing the action (application) of the agent corresponding to the description of the action and the purpose has been complicated and complicated.

[0053] (3) In addition, the agency system can carry out planning reprogramming when necessary, but so far, when and how to carry out planning reprogramming are all specifically and clearly recorded in the planning, or are the standards on the system (system setting) processing can only choose one of the two

Therefore, the action is inflexible, and it is difficult for the agent to be flexible for various situations

[0054] (4) In addition, another problem in the above-mentioned prior art is a problem about information security

[0056] (5) In addition, because the agent continues to be active while moving sequentially among multiple nodes on the network, occasionally the agent's activity will be interrupted due to an accident such as a host failure in a node where the agent is active

In this case, since the information of the agent will be lost when the failure occurs, even if the node can be restarted, the operation of the agent cannot continue until now.

[0057] In addition, until now, after the user generates a proxy on the node he uses and sends it to the Internet, there is no device for checking the current location of the sent proxy and whether the proxy continues to operate smoothly.

Therefore, there is a problem that even if the agent disappears due to a failure at a node on the way, it still waits for the agent to return and delays the operation.

In addition, on the contrary, although the agent is not destroyed, there is a problem that the agent is mistakenly thought to be destroyed due to a failure due to a certain delay in the return, so the agent is sent again and it takes two times.

[0058] In addition, even when the agent is considered to be eliminated due to a node failure, there has been no device to restart the agent's action from halfway.

Therefore, the generation of agents and the activities of agents must be completely reworked from scratch, not only the steps are cumbersome, but also there is a problem of increasing the burden on network resources

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