Goal-Driven Changes in Argumentation: A Theoretical Framework and a Tool
作者： Pierre Bisquert , Claudette Cayrol , Florence Dupin De Saint-Cyr , Marie-Christine Lagasquie
关键词: Probabilistic argumentation 、 Computer science 、 Artificial intelligence 、 Order (exchange) 、 Multi-agent system 、 Argumentation theory
摘要: This paper defines a new framework for dynamics in argumentation. In this framework, an agent can change argumentation system (the target system) order to achieve some desired goal. Changes consist addition/removal of arguments or attacks between and are constrained by theagent's knowledge encoded another system. We present software that computes the possible operations given on
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