基于FCA的智能体行为共性搜索

2009 Ninth International Conference on Intelligent Systems Design and Applications Pub Date : 2009-11-30 DOI:10.1109/ISDA.2009.50

P. Gajdoš, M. Radecký

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引用次数: 1

摘要

MAS操作带来了大量与智能体行为相关的任务。更准确地说，理解智能体的行为和它们之间的关系可以优化整个MAS架构。在多智能体系统领域中使用FCA可以促进多个任务的解决方案和/或指向某些数据关系，这些数据关系应该进一步进行更详细的分析。本文简要介绍了三元形式概念分析(FCA)，它可以帮助我们发现MAS与agent交互过程中的一些隐藏信息。从交通仿真的角度阐述了FCA在MAS中的集成过程。

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Searching Common Pattern in Agents Behaviors with Usage of FCA

MAS operation brings quite a number of tasks related to behaviors of intelligent agents. More precisely, understanding of agents behaviors and their relationships enables to optimize the whole MAS architecture. The usage of FCA in the area of Multi-agent systems can facilitate solutions of several tasks and/or point to certain data relations, which should be further analyzed in more detail. This paper briefly describes the Triadic Formal Concept Analysis (FCA) which helps us to find some hidden information on MAS and agents interaction. The process of FCA integration within MAS is illustrated on the area of traffic simulation.

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2009 Ninth International Conference on Intelligent Systems Design and Applications

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