Dialogical two-agent decision making with assumption-based argumentation - Xiuyi Fan (International conference on Autonomous Agents and Multi-Agent Systems, 2014)
*Originality:*This work gives the first comprehensive study on argumentation-based multi-agent decision making. Using an existing argumentation-based dialogue framework, we show how two agents can argue towards “good” decisions in a distributed manner. This work connects decision making with multi-agent argumentation and dialogues.*Significance:*Decision making usually asks for the ability of analyzing incomplete and potentially conflicting information, which is commonly perceived as a unique strength of argumentation. Yet, until this paper, little work has been done in developing and utilizing this argumentation strength in a multi-agent setting, where the problem of multi-agent decision making is more important and challenging. This work gives systemic treatment to this problem with both theoretical results and a medical decision-making case study presented.*Rigor:*We prove a formal connection between distributed decision making and well-known argumentation semantics. All results are shown with full proofs. This paper is published in the AAMAS conference, a top conference in artificial intelligence.