Vidal's libraryTitle: | 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. |
Cited by 25 - Google Scholar
@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