Title :
An evolutionary design of the networks of mutual reliability
Author :
Uno, Kimitaka ; Namatame, Akira
Author_Institution :
Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
Abstract :
The purpose of the paper is to analyze the effects of bounded rationality and the mimicry strategy in designing reliable networks in the domain of the social dilemma. There is growing literature on bounded rationality and the evolutional approach. The hypotheses employed in this research reflect the limited ability of each player or agent to receive, decide, and act upon information they get in the course of interactions. Our model can be interpreted in a like manner, however, we intend to combine the evolutional approach and the concept of bounded rationality. We consider the situation where a group of agents is repeatedly matched to play a game. Each agent only interacts with his neighbors, and when agents react, they react myopically (the myopia hypothesis). Agents are completely naive and do not perform optimization calculations. Rather, agents sometimes observe the current performance of other agents, and simply mimic the most successful strategy
Keywords :
evolutionary computation; game theory; multi-agent systems; social sciences computing; agent reaction; bounded rationality; evolutional approach; evolutionary design; mimicry strategy; mutually reliable networks; myopia hypothesis; social dilemma; Biological information theory; Computer network reliability; Computer science; Electronic mail; Game theory; Resists;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785481