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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
         
        
            Print_ISBN : 
0-7695-1931-8
         
        
        
            DOI : 
10.1109/IAT.2003.1241105