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EDP Sciences E3S Web of Conferences 583
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    초록·키워드

    The goal of this study is to develop a model of collective behavior of intelligent agents based on neurocognitive multi-agent architectures. The consistency of agent behavior is based on a single semantic model that is based on the desire of all agents to maximize the energy that a given agent or a collective extract from the environment as a result of performing actions prescribed by a suboptimal plan for such behavior. The main method used to synthesize collective behavior is to create conditions for the growth and development of the controlling multi- agent neurocognitive architecture of an intelligent agent based on the data it receives in the process of interaction with the user, autonomous or robotic agents.

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