Vidal's library
Title: The Influence of Social Dependencies on Decision-Making: Initial Investigations with a New Game
Author: Barbara Grosz, Sarit Kraus, Shavit Talman, Boaz Stossel, and Moti Havlin
Book Tittle: Proceedings of the Third International Joint Conference on Autonomous Agents and MultiAgent Systems
Pages: 782--789
Publisher: ACM
Year: 2004
Abstract: This paper describes a new multi-player computer game, Colored Trails (CT), which may be played by people, computers and heterogeneous groups. CT was designed to enable investigation of properties of decision-making strategies in multi-agent situations of varying complexity. The paper presents the results of an initial series of experiments of CT games in which agents choices affected not only their own outcomes but also the outcomes of other agents. It compares the behavior of people with that of computer agents deploying a variety of decision-making strategies. The results align with behavioral economics studies in showing that people cooperate when they play and that factors of social dependency influence their levels of cooperation. Preliminary results indicate that people design agents to play strategies closer to game-theory predictions, yielding lower utility. Additional experiments show that such agents perform worse than agents designed to make choices that resemble human cooperative behavior. The paper describes challenges raised by these results for designers of agents, especially agents that need to operate in heterogeneous groups that include people.

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@InProceedings{grosz04a,
  author =	 {Barbara Grosz and Sarit Kraus and Shavit Talman and
                  Boaz Stossel and Moti Havlin},
  title =	 {The Influence of Social Dependencies on
                  Decision-Making: Initial Investigations with a New
                  Game},
  booktitle =	 {Proceedings of the Third International Joint
                  Conference on Autonomous Agents and MultiAgent
                  Systems},
  pages =	 {782--789},
  year =	 2004,
  publisher =	 {{ACM}},
  abstract =	 {This paper describes a new multi-player computer
                  game, Colored Trails (CT), which may be played by
                  people, computers and heterogeneous groups. CT was
                  designed to enable investigation of properties of
                  decision-making strategies in multi-agent situations
                  of varying complexity. The paper presents the
                  results of an initial series of experiments of CT
                  games in which agents choices affected not only
                  their own outcomes but also the outcomes of other
                  agents. It compares the behavior of people with that
                  of computer agents deploying a variety of
                  decision-making strategies. The results align with
                  behavioral economics studies in showing that people
                  cooperate when they play and that factors of social
                  dependency influence their levels of
                  cooperation. Preliminary results indicate that
                  people design agents to play strategies closer to
                  game-theory predictions, yielding lower
                  utility. Additional experiments show that such
                  agents perform worse than agents designed to make
                  choices that resemble human cooperative
                  behavior. The paper describes challenges raised by
                  these results for designers of agents, especially
                  agents that need to operate in heterogeneous groups
                  that include people.},
  keywords =     {multiagent social-networks game-theory},
  url =		 {http://jmvidal.cse.sc.edu/library/grosz04a.pdf},
  comment =	 {masrg},
  googleid = 	 {ygijRSHwswcJ:scholar.google.com/},
  cluster = 	 {555051204789602506}
}
Last modified: Wed Mar 9 10:16:14 EST 2011