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A short introduction to computational social choice. (English) Zbl 1131.91316
van Leeuwen, Jan (ed.) et al., SOFSEM 2007: Theory and practice of computer science. 33rd conference on current trends in theory and practice of computer science, Harrachov, Czech Republic, January 20–26, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-69506-6/pbk). Lecture Notes in Computer Science 4362, 51-69 (2007).
Summary: Computational social choice is an interdisciplinary field of study at the interface of social choice theory and computer science, promoting an exchange of ideas in both directions. On the one hand, it is concerned with the application of techniques developed in computer science, such as complexity analysis or algorithm design, to the study of social choice mechanisms, such as voting procedures or fair division algorithms. On the other hand, computational social choice is concerned with importing concepts from social choice theory into computing. For instance, the study of preference aggregation mechanisms is also very relevant to multiagent systems. In this short paper we give a general introduction to computational social choice, by proposing a taxonomy of the issues addressed by this discipline, together with some illustrative examples and an (incomplete) bibliography.
For the entire collection see [Zbl 1129.68007].

MSC:
91B14 Social choice
68T01 General topics in artificial intelligence
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