Algorithmic Game Theory
by Noam Nisan, at al.
Publisher: Cambridge University Press 2007
Number of pages: 775
The subject matter of Algorithmic Game Theory covers many of the hottest area of useful new game theory research, introducing deep new problems, techniques, and perspectives that demand the attention of economists as well as computer scientists. The all-star list of author-contributors makes this book the best place for newcomers to begin their studies.
Download or read it online for free here:
by L.R. Izquierdo, S.S. Izquierdo, W.H. Sandholm - Pressbooks
This book is a guide to implement simple agent-based evolutionary models using NetLogo. All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models ...
by Yoav Shoham, Kevin Leyton-Brown - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
by Krzysztof Apt, Robert van Rooij - Amsterdam University Press
This volume testifies to the importance of game theory as a tool to capture the concepts of strategy, interaction, argumentation, communication, cooperation and competition. It provides evidence for the richness of game theory and its applications.
by Richard J. Nowakowski - Cambridge University Press
This book is a state-of-the-art look at combinatorial games, that is, games not involving chance or hidden information. The book contains articles by some of the foremost researchers and pioneers of combinatorial game theory.