This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.

Dieses Buch fuhrt in das junge, interdisziplinare Gebiet Computational Social Choice ein, das an der Schnittstelle zwischen der Informatik und den Politik- und Wirtschaftswissenschaften liegt. Ausgehend von der klassischen Spiel- und Social-Choice-Theorie werden die algorithmischen Eigenschaften von Spielen, Wahlen und Aufteilungsverfahren in leicht verstandlicher und dennoch exakter Form prasentiert.

This is the first book in the Empowerment Series for kids. It is a book about courage. It is an important topic for kids to learn. The next books in the series will be about self-respect, self-love, self-assurance, and self-confidence.