Many is more, but not too many: dimensions of cooperation of agents with and without predictive capabilities

This paper examines the tradeoffs between agents that can predict (and, therefore, take into account) other agent's actions and agents that act on their own without taking other agents' actions into account. A simple prediction mechanism allows agents to make reasonably accurate guesses ab...

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Bibliographic Details
Published inIEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003 pp. 378 - 384
Main Authors Scheutz, M., Schermerhorn, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Artificial intelligence
Computational efficiency
Computational modeling
Computer architecture
Computer science
Control systems
Costs
Intelligent robots
Laboratories
Robot kinematics
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Summary:This paper examines the tradeoffs between agents that can predict (and, therefore, take into account) other agent's actions and agents that act on their own without taking other agents' actions into account. A simple prediction mechanism allows agents to make reasonably accurate guesses about other agents' future actions, thereby making better decisions about their own actions. Our experimental findings from a multiagent object collection task suggest that not only do predictive agents perform better than non-predictive agents, but there are circumstances in which simple reactive prediction mechanisms perform as well as complex deliberative prediction mechanisms.
ISBN:9780769519319
0769519318
DOI:10.1109/IAT.2003.1241105