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Titlebook: Algorithmic Decision Theory; 4th International Co Toby Walsh Conference proceedings 2015 Springer International Publishing Switzerland 2015

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Geometry on the Utility Spaceel the preferences of an agent in a situation of uncertainty. We focus on the case where the model is neutral with respect to the available options, i.e. treats them, ., as being symmetrical from one another. Specifically, we prove that the only Riemannian metric that respects the geometrical proper
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MOPIC Properties in the Representation of Preferences by a 2-Additive Choquet IntegralChoquet integral w.r.t a 2-additive capacity. A cardinal information is a preferential information provided by a Decision Maker (DM) containing a strict preference, a quaternary and indifference relations. Our work is focused on the representation of a cardinal information by a particular Choquet in
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Beyond Theory and Data in Preference Modeling: Bringing Humans into the Loopistaking correlation for causality, or testing data in a context that is different from the one where the data were produced. Human experiments need to be done carefully and we advocate a multi-disciplinary research environment that includes experimental psychologists and AI researchers. We argue th
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Learning the Parameters of a Non Compensatory Sorting Modelf the model, we substitute additive weights by a capacity to represent the power of coalitions of criteria. This corresponds to the Non-Compensatory Sorting model characterized by Bouyssou and Marchant. In the paper we describe a mixed integer program and a heuristic algorithm that enable to learn t
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-Agent Sufficiency for Multiagent Stochastic Physical Search Problemsltiagent systems ignores the question of how many agents should actually be used to solve a problem. To investigate this question, we introduce the condition of .-agent sufficiency for a multiagent optimization problem, which means that an optimal solution exists that requires only . agents. We show
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MC/DC Test Cases Generation Based on BDDsf the model, we substitute additive weights by a capacity to represent the power of coalitions of criteria. This corresponds to the Non-Compensatory Sorting model characterized by Bouyssou and Marchant. In the paper we describe a mixed integer program and a heuristic algorithm that enable to learn t
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Lecture Notes in Computer Scienceltiagent systems ignores the question of how many agents should actually be used to solve a problem. To investigate this question, we introduce the condition of .-agent sufficiency for a multiagent optimization problem, which means that an optimal solution exists that requires only . agents. We show
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