DocumentCode :
2224270
Title :
Many is more, but not too many: dimensions of cooperation of agents with and without predictive capabilities
Author :
Scheutz, Matthias ; Schermerhorn, Paul
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, IN, USA
fYear :
2003
fDate :
13-16 Oct. 2003
Firstpage :
378
Lastpage :
384
Abstract :
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.
Keywords :
multi-agent systems; planning (artificial intelligence); agent action; agent cooperation; agent tradeoff; deliberative prediction; multiagent object collection; multiple agents; prediction mechanism; reactive agent; robot; Artificial intelligence; Computational efficiency; Computational modeling; Computer architecture; Computer science; Control systems; Costs; Intelligent robots; Laboratories; Robot kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
Type :
conf
DOI :
10.1109/IAT.2003.1241105
Filename :
1241105
Link To Document :
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