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Assumption-based argumentation for decision-making with preferences: a medical case study. (English) Zbl 1401.68336
Leite, João (ed.) et al., Computational logic in multi-agent systems. 14th international workshop, CLIMA XIV, Corunna, Spain, September 16–18, 2013. Proceedings. Berlin: Springer (ISBN 978-3-642-40623-2/pbk). Lecture Notes in Computer Science 8143. Lecture Notes in Artificial Intelligence, 374-390 (2013).
Summary: We present a formal decision-making framework, where decisions have multiple attributes and meet goals, and preferences are defined over individual goals and sets of goals. We define decision functions to select ‘good’ decisions according to an underlying decision criteria. We also define an argumentation-based computational mechanism to compute and explain ‘good’ decisions. We draw connections between decision-making and argumentation semantics: ‘good’ decisions are admissible arguments in a corresponding argumentation framework. To show the applicability of our approach, we use medical literature selection as a case study. For a given patient description, we select the most relevant medical papers from the medical literature and explain the selection.
For the entire collection see [Zbl 1272.68028].

68T42 Agent technology and artificial intelligence
68T27 Logic in artificial intelligence
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
92C50 Medical applications (general)
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