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.
