Yoav Shoham

Yoav Shoham is Professor of Computer Science at Stanford University.

  • Combinatorial Auctions

    Combinatorial Auctions

    Peter Cramton, Yoav Shoham, and Richard Steinberg

    A synthesis of theoretical and practical research on combinatorial auctions from the perspectives of economics, operations research, and computer science.

    With a foreword by Vernon L. Smith, recipient of the 2002 Nobel Prize in Economics.

    The study of combinatorial auctions—auctions in which bidders can bid on combinations of items or "packages"—draws on the disciplines of economics, operations research, and computer science. This landmark collection integrates these three perspectives, offering a state-of-the art survey of developments in combinatorial auction theory and practice by leaders in the field.

    Combinatorial auctions (CAs), by allowing bidders to express their preferences more fully, can lead to improved economic efficiency and greater auction revenues. However, challenges arise in both design and implementation. Combinatorial Auctions addresses each of these challenges. After describing and analyzing various CA mechanisms, the book addresses bidding languages and questions of efficiency. Possible strategies for solving the computationally intractable problem of how to compute the objective-maximizing allocation (known as the winner determination problem) are considered, as are questions of how to test alternative algorithms. The book discusses five important applications of CAs: spectrum auctions, airport takeoff and landing slots, procurement of freight transportation services, the London bus routes market, and industrial procurement. This unique collection makes recent work in CAs available to a broad audience of researchers and practitioners. The integration of work from the three disciplines underlying CAs, using a common language throughout, serves to advance the field in theory and practice.

    • Hardcover $12.75 £9.50
    • Paperback $35.00 £27.00
  • Reasoning About Change

    Time and Causation from the Standpoint of Artificial Intelligence

    Yoav Shoham

    A comprehensive approach to temporal reasoning in artificial intelligence.

    The notions of time and change are central to the way we think about the world. Not surprisingly, both play a prominent role in artificial intelligence research, in diverse areas such as medical diagnosis, circuit debugging, naive physics, and robot planning. Reasoning About Change presents a comprehensive approach to temporal reasoning in artificial intelligence. Using techniques from temporal, nonmonotonic and epistemic logics, the author investigates issues that arise when one adopts a formal approach to temporal reasoning in artificial intelligence that is at once rigorous, efficient, and intuitive. Shoham develops a temporal logic that is based on temporal intervals rather than points in time, and presents a mathematical apparatus that simplifies and clarifies notions of nonmonotonic logic and the modal logic of knowledge. He constructs a specific logic, called Chronological Ignorance, and discusses both its practical utility and philosophical importance. In particular, he offers a new account of the concept of causation, and of its central role in commonsense reasoning.

    Reasoning About Change is included in the Artificial Intelligence Series, edited by Michael Brady and Patrick Henry Winston.

    • Hardcover $39.95 £27.95

Contributor

  • Multiagent Systems, Second Edition

    Multiagent Systems, Second Edition

    Gerhard Weiss

    The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference.

    Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study.

    This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests.

    The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site.

    Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

    • Hardcover $19.75 £14.99
    • Paperback $70.00 £54.00