Abstract
Social choice has been the subject of intense investigation within computer science, AI, and operations research, in part because of the ease with which preference data from user populations can now be elicited, assessed, or estimated in online settings. In many domains, the preferences of a group of individuals must be aggregated to form a single consensus recommendation, placing us squarely in the realm of social choice.
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© 2011 Springer-Verlag Berlin Heidelberg
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Boutilier, C. (2011). Preference Elicitation and Preference Learning in Social Choice. In: Achterberg, T., Beck, J.C. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2011. Lecture Notes in Computer Science, vol 6697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21311-3_1
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DOI: https://doi.org/10.1007/978-3-642-21311-3_1
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-21311-3
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