A heterogeneous mobile agent cooperative control and evolution method

By embedding an emotion cognition module and a field force planning method into a heterogeneous mobile intelligent agent system, the impact of individual emotions and environmental uncertainties on collaborative control of artificial mobile intelligent agents is solved, achieving more realistic and efficient collaborative control and evolution of intelligent agents.

CN119165795BActive Publication Date: 2025-10-21NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Application Number
CN202411040032.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-31
Publication Date
2025-10-21
Estimated Expiration
2044-07-31

AI Technical Summary

Technical Problem

Existing technologies do not fully consider the impact of individual emotional factors of artificial mobile intelligent agents and uncertainties in the local environment on the collaborative control of multiple agents, resulting in the collaborative control and evolution of heterogeneous mobile intelligent agent systems failing to approximate the real situation.

Method used

A continuous cellular automaton is used to mix artificial mobile agents and automatic mobile agents, an emotional recognition module is embedded, fuzzy theory is used to obtain emotional clues of different granularities, evolution rules are constructed, and the movement of the agents is controlled through field force planning methods, and the path is planned in combination with the perception information sharing mechanism.

Benefits of technology

It improves the realism and accuracy of collaborative control of heterogeneous mobile intelligent agents, makes the behavior of artificial mobile intelligent agents more realistic, enhances the autonomous decision-making and path planning capabilities of automatic mobile intelligent agents, and improves the system's adaptability and overall intelligence in complex environments.

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Abstract

The application discloses a heterogeneous mobile intelligent agent cooperative control and evolution method, which comprises embedding an emotion cognition module in an artificial mobile intelligent agent, acquiring emotion clues of different granularities to construct evolution rules of the artificial mobile intelligent agent, including acceleration rules, deceleration rules, random slowing rules of introducing a random slowing probability function and position updating rules; constructing automatic mobile intelligent agent evolution rules based on an improved interaction potential energy field function, including acceleration rules, deceleration rules and position updating rules; the acceleration rules are used for adjusting speed; the deceleration rules are used for avoiding collision; the random slowing rules are used for random deceleration of the artificial mobile intelligent agent; and the position updating rules are used for determining position; and the motion path of the heterogeneous mobile intelligent agent is controlled and planned through a field force planning method. The application solves the cooperative control problem of the heterogeneous mobile intelligent agent in a complex dynamic environment, enhances the cooperative ability between the heterogeneous intelligent agents and improves collision avoidance safety.
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