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Speculative Computation with Multi-Agent Belief Revision

机译:多智能体信念修正的投机计算

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摘要

In multi-agent system, we often face incompleteness of information due to communication failure or other agent's suspension of decisions. To solve the incompleteness, we previously proposed speculative computation using abduction in the context of matter-slave multi-agent systems and gave a procedure in abductive logic programming. In the work, a master agent prepares a default value for a question in advance and it performs speculative computation using the default without waiting for a reply for the question. This computation is effective unless the contradictory reply with the default is returned. However, we find that this mechanism is not sufficient for speculative computation in more general multi-agent systems such that replies can be revised according to other agents' speculative computation. In this paper, we formalize speculative computation with multi-agent belief revision and propose a correct procedure for such computation.
机译:在多主体系统中,由于通信失败或其他主体的决策中止,我们经常面临信息不完整的问题。为了解决不完备性,我们先前在物从多主体系统的背景下提出了使用绑架的推测计算,并给出了绑架逻辑编程的过程。在工作中,主代理会预先为问题准备默认值,并使用默认值执行推测性计算,而无需等待问题的答复。除非返回具有默认值的矛盾答复,否则此计算有效。但是,我们发现这种机制不足以在更通用的多主体系统中进行推测性计算,因此可以根据其他主体的推测性计算来修改答复。在本文中,我们通过多智能体信念修订来规范化推测性计算,并提出了一种正确的计算程序。

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