Rules of Encounter: Designing Conventions for Automated Negotiation among Computers (Artificial Intelligence) [Hardcover]

Jeffrey S. Rosenschein (Author), Gilad Zlotkin (Author)

Book Description

Series: Artificial Intelligence Series | Publication Date: July 12, 1994

Rules of Encounter applies the general approach and the mathematical tools of game theory in a formal analysis of rules (or protocols) governing the high-level behavior of interacting heterogeneous computer systems. It describes a theory of high-level protocol design that can be used to constrain manipulation and harness the potential of automated negotiation and coordination strategies to attain more effective interaction among machines that have been programmed by different entities to pursue different goals.While game theoretic ideas have been used to answer the question of how a computer should be programmed to act in a given specific interaction, here they are used in a new way, to address the question of how to design the rules of interaction themselves for automated agents.Rules of Encounter provides a unified, coherent account of machine interaction at the level of the machine designers (the society of designers) and the level of the machine interaction itself (the resulting artificial society). Taking into account such attributes of the artificial society as efficiency, and the self-interest of each member in the society of designers, it analyzes what kinds of rules should be instituted to govern interaction among these autonomous agents.The authors point out that adjusting the rules of public behavior -- or the rules of the game -- by which the programs must interact can influence the private strategies that designers set up in their machines, shaping design choices and run-time behavior, as well as social behavior.Artificial Intelligence series

Editorial Reviews

About the Author

Jeffrey S. Rosenschein is a Senior Lecturer at the Institute of Computer Science at The Hebrew University of Jerusalem. Gilad Zlotkin is with the Enterprise Management Business Unit-Israel of Cisco Systems.

Product Details

• Hardcover: 253 pages
• Publisher: The MIT Press (July 12, 1994)
• Language: English
• ISBN-10: 0262181592
• ISBN-13: 978-0262181594
• Product Dimensions: 9.2 x 6.3 x 0.7 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #2,547,468 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

7 of 7 people found the following review helpful:

5.0 out of 5 stars Great comprehensive introduction!, July 3, 2000

By A Customer

This review is from: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers (Artificial Intelligence) (Hardcover)

We used this book for a month for a course in distributed AI. This books provide a comprehensible structure to multiagent negotiations by identifying three different kinds of domains (task oriented, state oriented, and worth oriented), and describe negotiation protocols and give their important properties. Wherever needed, the authors make the connection to game theory. This is a solid base to recent papers and books on multiagent negotiations, and also to build your own MAS using negotiation protocols of varying levels of complexities.

1 of 2 people found the following review helpful:

5.0 out of 5 stars Great comprehensive introduction!, July 3, 2000

By A Customer

This review is from: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers (Artificial Intelligence) (Hardcover)

We used this book for a month for a course in distributed AI. This books provides a comprehensible structure to multiagent negotiations by identifying three different kinds of domains (task oriented, state oriented, and worth oriented), and describe negotiation protocols and give their important properties. Wherever needed, the authors make the connection to game theory. This is a solid base to recent papers and books on multiagent negotiations, and also to build your own MAS using negotiation protocols of varying levels of complexities.