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Modeling, Learning And Reasoning About Preference Trees Over Combinatorial Domains, Xudong Liu
Modeling, Learning And Reasoning About Preference Trees Over Combinatorial Domains, Xudong Liu
Theses and Dissertations--Computer Science
In my Ph.D. dissertation, I have studied problems arising in various aspects of preferences: preference modeling, preference learning, and preference reasoning, when preferences concern outcomes ranging over combinatorial domains. Preferences is a major research component in artificial intelligence (AI) and decision theory, and is closely related to the social choice theory considered by economists and political scientists. In my dissertation, I have exploited emerging connections between preferences in AI and social choice theory. Most of my research is on qualitative preference representations that extend and combine existing formalisms such as conditional preference nets, lexicographic preference trees, answer-set optimization programs, possibilistic …