A general framework for sound assumption-based argumentation dialogues

A general framework for sound assumption-based argumentation dialogues
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基于假设的合理论证对话的总体框架

DOI:
10.1016/j.artint.2014.06.001
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发表时间:
2014
影响因子:
14.4
通讯作者:
Fan X
Fan X
中科院分区:
计算机科学2区
文献类型:
--
作者:
Fan X

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我们提出了一个基于推理的智能体对话的形式化模型,使用基于假设的推理(ABA)作为基本的推理框架。因此,对话相当于在ABA中进行论证过程。该模型是根据aba特定的话语、在对话期间隐含建立并从中提取的辩论树和森林、法律行动函数(相当于协议)和结果函数给出的。该模型是通用的,因为它不局限于任何特定的对话类型,并且可以用于支持广泛的对话类型。我们通过给出关于这些语义的对话模型的可靠性结果,证明了对话与三种著名的论证语义(即基于的、可接受的和理想的扩展)之间的形式联系。因此,我们的对话可以被视为一种分布式机制,用于成功地确定主张的可接受性(相对于所考虑的语义),同时为这些主张构建论证框架和论证。
We propose a formal model for argumentation-based dialogues between agents, using assumption-based argumentation (ABA) as the underlying argumentation framework. Thus, the dialogues amount to conducting an argumentation process in ABA. The model is given in terms of ABA-specific utterances, debate trees and forests implicitly built during and drawn from dialogues, legal-move functions (amounting to protocols) and outcome functions. The model is generic in that it is not restricted to any specific dialogue types and can be used to support a wide range thereof. We prove a formal connection between dialogues and three well-known argumentation semantics (i.e. grounded, admissible and ideal extensions), by giving soundness results for our dialogue models with respect to these semantics. Thus, our dialogues can be seen as a distributed mechanism for successfully determining acceptability of claims (with respect to the semantics considered), while constructing argumentation frameworks and arguments for these claims.
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