Handbook of Computational Social Choice

The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field’s major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.

Author Biography

Felix Brandt is Professor of Computer Science and Professor of Mathematics at Technische Universität München. Vincent Conitzer is the Kimberly J. Jenkins University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. Ulle Endriss is Associate Professor of Logic and Artificial Intelligence at the Institute for Logic, Language and Computation at the University of Amsterdam. Jérôme Lang is a senior researcher in computer science at CNRS-LAMSADE, Université Paris-Dauphine. Ariel D. Procaccia is Assistant Professor of Computer Science at Carnegie Mellon University.