Minimal and Complete Explanations for Critical Multi-attribute Decisions
Labreuche, Christophe; Maudet, Nicolas; Ouerdane, Wassila (2011), Minimal and Complete Explanations for Critical Multi-attribute Decisions, in Brafman, Ronen; Roberts, Fred S.; Tsoukiàs, Alexis, Algorithmic Decision Theory Second International Conference, ADT 2011, Piscataway, NJ, USA, October 26-28, 2011. Proceedings, Springer : Berlin, p. 121-134. http://dx.doi.org/10.1007/978-3-642-24873-3_10
TypeCommunication / Conférence
Conference titleSecond International Conference on Algorithmic Decision Theory, ADT 2011
Conference cityPiscataway NJ
Book titleAlgorithmic Decision Theory Second International Conference, ADT 2011, Piscataway, NJ, USA, October 26-28, 2011. Proceedings
Book authorBrafman, Ronen; Roberts, Fred S.; Tsoukiàs, Alexis
Series titleLecture Notes in Computer Science
Number of pages345
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Abstract (EN)The ability to provide explanations along with recommended decisions to the user is a key feature of decision-aiding tools. We address the question of providing minimal and complete explanations, a problem relevant in critical situations where the stakes are very high. More specifically, we are after explanations with minimal cost supporting the fact that a choice is the weighted Condorcet winner in a multi-attribute problem. We introduce different languages for explanation, and investigate the problem of producing minimal explanations with such languages.
Subjects / Keywordsdecision-aiding tools
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