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Towards a Computational Model of Argumentation Schemes in Agent-Oriented Programming Languages

机译:以代理为导向的编程语言论争论方案的计算模型

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There are many benefits of using argumentation-based techniques in multi-agent systems, as clearly shown in literature. Such benefits come not only from the expressiveness that such approaches bring to agent communication but also from the reasoning and decision-making capabilities under conditions of conflicting and uncertain information that argumentation brings to autonomous agents. When developing multi-agent applications in which argumentation will be used to improve agent communication and reasoning, argumentation schemes (i.e., reasoning patterns for argumentation) are useful in addressing the requirements of the application domain in regards to argumentation (e.g., defining the scope in which argumentation will be used by agents in that particular application). In this work, we propose a general argumentation framework that takes into account the particular structure of argumentation schemes at its core. This paper formally defines that framework and experimentally evaluates its implementation.
机译:使用基于论证的技术在多种子体系统中有许多好处,如文学中清楚地显示。这种福利不仅来自这种方法,这些方法带来了代理商,而且来自互相冲突和不确定信息条件下的推理和决策能力,这是论证带来自治代理人。在开发用于改进参数的多代理应用程序时,将用于改进代理通信和推理,论证方案(即,参数的推理模式)对于解决论证方面的要求(例如,定义范围)是有用的在该特定应用程序中,代理商将使用哪些论证)。在这项工作中,我们提出了一项普通论框架,以考虑其核心论证方案的特定结构。本文正式定义该框架并通过实验评估其实施。

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