基于扩展互反逻辑的多智能体系统信任推理信念修正机制

S. Basit, Y. Goto
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引用次数: 0

摘要

当一个agent接收到来自其他agent的信息时,它会进行信念修正。信念修正包括:1)信任推理过程,即获取与信息相关的新信念,并从获得的信念中隐含地推断出未知的信念;Ii)在信念集存在矛盾的情况下,解决矛盾。因此,在多智能体系统中,智能体的决策过程必须包含信任推理和信念修正。虽然构建多智能体系统需要一种基于信任推理的信念修正机制,但目前还没有这种信念修正机制。因此,我们提出了一种基于扩展互反逻辑的多智能体系统信任推理的信念修正机制。
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A Belief Revision Mechanism with Trust Reasoning based on Extended Reciprocal Logic for Multi-Agent Systems
When an agent receives messages from other agents, it does belief revision. A belief revision includes, i) a trust reasoning process, i.e., it obtains new belief related to the messages, and deduces implicitly unknown beliefs from the obtained belief; ii) in the case of contradiction in the belief set, it resolves the contradiction. So, trust reasoning, and belief revision must be included in the decision-making process of an intelligent agent in multi-agent systems. Although a belief revision mechanism with trust reasoning is demanded to construct multi-agent systems, there is no such belief revision mechanism. We, therefore, present a belief revision mechanism with trust reasoning based on extended reciprocal logic for multi-agent systems.
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