Artificial environment model, Agent model and modeling method of Agent model

Abstract

The invention provides an artificial environment model, an Agent model and a modeling method of the Agent model. The artificial environment model comprises a data storage space, an environmental data query service module, an environmental data updating service module and an environmental data space access service module; the data storage space represents dynamic changes of the real environment realistically; the environmental data query service module is used for receiving a sensing message query instruction from an Agent sensor and feeds back queried data to the Agent sensor; the environmental data updating service module is used for receiving an Agent attribute and behavior updating instruction from an Agent effector and then updates Agent attributes and behaviors to the data storage space; the environmental data space access service module is used for maintaining the data storage space and providing basic data services to an artificial environment. The artificial environment model has the advantages of flexibility in configuration, high universality and good expandability, supports multi-terminal concurrent access and can provide support to large-scale computational experiments.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to an artificial environment model, an Agent model and a modeling method thereof. Background technique [0002] Agent-based modeling theory and simulation technology is one of the most dynamic and influential methods for complex system simulation at present. The upward method starts with the study of individual micro-behavior, and then obtains the macro-behavior of the system. The artificial environment is a virtual environment parallel to the real environment in the actual system in the agent simulation system. It is mainly used to provide various required natural environment data and information for the agent, and is the basic support of various physical and behavioral models. [0003] At present, the artificial environment in the field of complex systems and intelligent science is relatively simple, mostly static environment parameter memory, or simple...

AI Technical Summary

Problems solved by technology

[0003] At present, the artificial environment in the field of complex systems and intelligent science is relatively simple, mostly static environment parameter memory, or simple environment evolution model, which cannot realistically reproduce the dynamic changes of the real environment, thereby reducing the fidelity of the Agent simulation system; In addition, the existing artificial environment has a limited response speed to the data from the Agent, especially in the large-scale computing experiment environment, when there are concurrent interactive requests from multiple Agents, it is difficult for the artificial environment to respond to the needs of different Agents in a timely manner, thereby reducing the overall Simulation Reality of Agent Simulation System

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