Algorithms, approximation, and empirical studies in behavioral and computational social choice—Preface

Judy Goldsmith, Jörg Rothe
2013 Annals of Mathematics and Artificial Intelligence  
This special issue is devoted to behavioral social choice and computational social choice, two rapidly emerging, interdisciplinary fields at the interface of, on the one hand, social choice theory (which traditionally belongs to economics and political science) and, on the other hand, behavioral sciences and computer science. The main focus of the papers collected here is on algorithms and approximation as well as on empirical and experimental studies, and both original research papers and
more » ... y papers are included. Preliminary versions of many of the papers in this special issue were presented in the Special Session on Computational Social Choice at the 12th International Symposium on Artif icial Intelligence and Mathematics (ISAIM 2012), which took place in Fort Lauderdale, USA, in January 2012. However, this special issue is not a comprehensive proceedings of the ISAIM 2012 computational social choice special session, but rather consists of a selection of the best contributions presented at the conference, plus some carefully selected papers that fit the special issue theme. All papers accepted for publication here have run through the regular reviewing process of The Annals of Mathematics and Artificial Intelligence, with at least two reviewers for each submission and up to three rounds of reviews per paper. The reviews have been particularly detailed and helpful, and the editors are very grateful to all the reviewers for their time and invaluable effort to improve the submissions. The topics covered in this special issue range from the contributions that behavioral social choice can make to computational social choice (in particular, when the observed data is highly incomplete), to the approximability of social welfare optimization in multiagent resource allocation, to judgement aggregation from the
doi:10.1007/s10472-013-9380-8 fatcat:2753zv2e6rgpza4sexzx7dfrde