Vidal's library


Title: Rules of Encounter
Author: Jeffrey S. Rosenschein and Gilad Zlotkin
Publisher: pub-mit
Year: 1994
ISBN: 0262181592
Abstract: 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.

Cited by 563  -  Google Scholar  -  ISBNdb  -  Amazon

@Book{rosenschein94a,
  author =	 {Jeffrey S. Rosenschein and Gilad Zlotkin},
  title =	 {Rules of Encounter},
  googleid =	 {mD24BWOMbgYJ:scholar.google.com/},
  publisher =	 pub-mit,
  year =	 1994,
  address =	 pub-mit:adr,
  abstract =	 {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.},
  keywords =     {multiagent mechanism-design},
  comment =	 {One of the classic texts in multiagent systems.},
  isbn =	 0262181592,
  created =	 1001877541,
  cluster = 	 {463462168591351192}
}
Last modified: Wed Mar 9 10:13:55 EST 2011