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.

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Declarative Agent Languages and Technologies, DALT 2006, held in Japan in May 2006. This was an associated event of AAMAS 2006, the main international conference on autonomous agents and multi-agent systems. The 12 revised full papers presented together with one invited talk and three invited papers were carefully selected for inclusion in the book.

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Declarative Agent Languages and Technologies, DALT 2005, held in The Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems. The 14 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The papers are organized in topical sections.

Computational social choice is concerned with the design and analysis of methods for collective decision making. It is a research area that is located at the interface of Computer Science and Economics. This volume reports on a number of recent research trends in computational social choice. It has three parts. The first part presents novel scenarios in which methods for collective decision making are required. The second part introduces novel techniques for the analysis of such methods. The third part, finally, discusses a range of innovative applications enabled by recent research in computational social choice.