利用JAFMAS开发连贯的多智能体系统

Deepika Chauhan, A. D. Baker
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引用次数: 9

摘要

基于Java的多智能体系统代理框架(JAFMAS)为开发基于语音行为的多智能体系统(MAS)提供了一种通用方法,以及一组支持在Java中实现这些代理的类。该方法分为五个阶段:(i)代理识别,(ii)定义每个代理的对话,(iii)确定管理每个代理对话的规则,(iv)分析系统中所有对话之间的一致性,以及(v)实施。JAFMAS通过16个Java类提供通信、语言和协调支持。为定向和基于主题的广播通信提供通信支持。为基于言语行为(如KQML)的交流语言提供语言支持。协调支持来自于将代理计划概念化,并将它们的协调作为基于规则的对话,由自动机模型表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing coherent multiagent systems using JAFMAS
The Java-based Agent Framework for Multi-Agent Systems (JAFMAS) provides a generic methodology for developing speech-act based multiagent systems (MAS) along with a set of classes to support implementing these agents in Java. The methodology follows five stages: (i) agent identification, (ii) definition of each agent's conversations, (iii) determining the rules governing each agent's conversations, (iv) analyzing the coherency between all the conversations in the system, and (v) implementation. JAFMAS provides communication, linguistic and coordination support through sixteen Java classes. Communication support is provided for both directed and subject-based broadcast communication. Linguistic support is provided for speech-act (e.g. KQML) based communication languages. Coordination support comes from conceptualizing agent plans and their coordination as rule-based conversations represented by automata models.
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