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Preferences: Optimization, Importance Learning And Strategic Behaviors, Ying Zhu
Preferences: Optimization, Importance Learning And Strategic Behaviors, Ying Zhu
Theses and Dissertations--Computer Science
Preferences are fundamental to decision making and play an important role in artificial intelligence. Our research focuses on three group of problems based on the preference formalism Answer Set Optimization (ASO): preference aggregation problems such as computing optimal (near optimal) solutions, strategic behaviors in preference representation, and learning ranks (weights) for preferences.
In the first group of problems, of interest are optimal outcomes, that is, outcomes that are optimal with respect to the preorder defined by the preference rules. In this work, we consider computational problems concerning optimal outcomes. We propose, implement and study methods to compute an optimal outcome; …