Integrating jason in a multi-agent platform with support for interaction protocols.

Bexy Alfonso, Emilio Vivancos, V. Botti, A. García-Fornes
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引用次数: 6

Abstract

Agent communication is a core issue when studying all possible ways for agents to organize and collaborate to achieve their goals. We can count on communication standards, as the FIPA Interaction Protocols. On the other hand we can count on high level agent programming languages, like AgentSpeak, which allow us to model and represent the agent and its knowledge and behavior. In this paper we present a proposal to add to Jason (an interpreter of an extended version of AgentSpeak) a new level of abstraction in the task of programming conversations between agents. The agent communication follows the FIPA interaction protocols. A new entity called Communicator Manager acts as an interface between the agent programming language (Jason) and the platform communication facilities (Magentix 2). This approach allows the programmer to focus on programming the agent knowledge and reasoning parts instead of the interaction protocols. An agent can call the communication manager to start a conversation. The communication manager will control the different steps of the conversation and will modify the agent belief base to represent the results of the different steps of the conversation protocol. Therefore, the agents can use this knowledge in its reasoning process. This approach can be easily transfered to others agent programming languages and platforms.
将jason集成到支持交互协议的多代理平台中。
在研究智能体组织和协作以实现其目标的所有可能方式时,智能体通信是一个核心问题。我们可以依靠通信标准,如FIPA交互协议。另一方面,我们可以依靠高级代理编程语言,如AgentSpeak,它允许我们建模和表示代理及其知识和行为。在本文中,我们提出了一个建议,在编程代理之间对话的任务中,向Jason (AgentSpeak的扩展版本的解释器)添加一个新的抽象级别。代理通信遵循FIPA交互协议。一个名为Communicator Manager的新实体充当代理编程语言(Jason)和平台通信设施(Magentix 2)之间的接口。这种方法允许程序员专注于编程代理知识和推理部分,而不是交互协议。座席可以呼叫通信管理器开始对话。通信管理器将控制会话的不同步骤,并修改代理信念库以表示会话协议的不同步骤的结果。因此,智能体可以在其推理过程中使用这些知识。这种方法可以很容易地移植到其他代理编程语言和平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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