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An Argumentation Based Semantics for AgentReasoning

机译:基于争论的AgentReasoning语义

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摘要

A key challenge for agent architectures and programming paradigms is to account for defeasible reasoning over mental attitudes and to provide associated conflict resolution mechanisms. A growing body of work is looking to address these challenges by proposing argumentation based approaches to agent defeasible and practical reasoning. This work conforms to Dung's seminal argumentation semantics. In this paper we review our previous work in which we extend Dung's semantics to allow for inclusion of arguments that express preferences between other arguments. In this way we account for the fact that preference information required to resolve conflicts is itself defeasible and may be conflicting. We then propose the extended semantics as a semantics for agent defeasible and practical reasoning, and substantiate this claim by showing how our semantics can characterise, and indeed provide a framework for extending, existing approaches to agent reasoning over beliefs, goals, and actions.
机译:代理程序体系结构和编程范例的主要挑战是,说明对心理态度的不可行推理,并提供相关的冲突解决机制。越来越多的工作正在寻求通过提出基于论据的方法来解决代理人不可行和实际推理的方法来应对这些挑战。这项工作符合Dung的开创性论证语义。在本文中,我们回顾了我们先前的工作,在该工作中,我们扩展了Dung的语义,以允许包含表示其他参数之间的偏好的参数。通过这种方式,我们可以解决以下事实:解决冲突所需的首选项信息本身是不可行的,并且可能会发生冲突。然后,我们提出扩展语义作为代理不可行和实际推理的语义,并通过展示我们的语义如何表征特征并为扩展现有的基于信念,目标和行动的代理推理方法提供框架,来证实这一主张。

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