Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

by | Nov 25, 2018 | Computers and Internet, Mathematics, Programming | 0 comments

Multiagent systems consist of multiple autonomous entities having different information and/or diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate and graduate courses.

Emphasizing foundations, the authors offer a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, non-cooperative game theory, multiagent communication and learning, social choice, mechanism design, auctions, coalitional game theory, and logical theories of knowledge, belief, and other aspects of rational agency. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes, and mathematical programming.

‘This is by far the best text in the field of multiagent systems, one of the fastest-growing areas in computer science.’ – Stuart Russell, University of California at Berkeley

‘Through excellent side-by-side presentation of the main approaches in computer science, game theory and economics, this pioneering textbook is a major advance towards the education of a better-equipped generation of computer scientists as well as social scientists.’ – Ehud Kalai, Northwestern University

‘Multiagent Systems touches all aspects of multiagent systems’from artificial intelligence to algorithms to game theory, to logic, and beyond-and presents, for the first time, all this cutting-edge research in a textbook form. Written by leaders in this research area, this book is certain to become the textbook of choice for classes on multiagent systems.’ – Noam Nisan, Hebrew University

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

by Yoav Shoham, Kevin Leyton-Brown (PDF) – 532 pages

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations by Yoav Shoham, Kevin Leyton-Brown

Related Posts

42 Free and Paid Programming Resources to Learn Web Development

42 Free and Paid Programming Resources to Learn Web Development

Any serious developer will need to learn how to program in order to really understand what is going on behind the curtain, or if you are curious to wonder about or query how your favorite program works. This is where programming tutorials come in. The following are 42 Free and Paid Programming Resources to Learn Web Development, covering 3 different levels – beginner, intermediate and expert resources.

40 Best Free CSS Learning Resources

40 Best Free CSS Learning Resources

If you are one of the people who love to design using CSS, there are actually thousands of learning resources which you can try out. This post will cover 40 of the best CSS learning resources, covering fundamental concepts, units, selectors, custom properties, animation and many more.

92 Markdown Editors and Tools for All Your Writing Needs

92 Markdown Editors and Tools for All Your Writing Needs

The basics of Markdown are easy to learn, and it can quickly become second nature. We’ve compiled 92 Markdown softwares, editors, tools and resources available that are worth using in a wide variety of scenarios. You’ll also find tutorials and libraries to get your started in no time. Happy writing and programming!