TY - GEN
T1 - Effective decision making by self-evaluation in the multi-agent environment
AU - Kurihara, Satoshi
AU - Fukuda, Kensuke
AU - Sato, Shihya
AU - Sugawara, Toshiharu
PY - 2005
Y1 - 2005
N2 - Generally, in multi-agent systems, there are close relations between behavior of each individual agent and the group of agents as a whole, so a certain information about the relative state of each agent in the group may be hided in each agent behavior. If this information can be extracted, each agent has the possibility to improve its state by seeing only its own behavior without seeing other agents' behaviors. In this paper, we focus on "power-law" which is interesting character seen in the behavior of each node of various kinds of networks as one of such information. Up to now, we have already found that power-law can be seen in the efficiently behaving agents in Minority Game which is the competitive multi-agent simulation environment. So, in this paper we have verified whether it is possible for each agent in the game to improve its state by seeing only its own behavior, and confirmed that the performance gain was actually possible.
AB - Generally, in multi-agent systems, there are close relations between behavior of each individual agent and the group of agents as a whole, so a certain information about the relative state of each agent in the group may be hided in each agent behavior. If this information can be extracted, each agent has the possibility to improve its state by seeing only its own behavior without seeing other agents' behaviors. In this paper, we focus on "power-law" which is interesting character seen in the behavior of each node of various kinds of networks as one of such information. Up to now, we have already found that power-law can be seen in the efficiently behaving agents in Minority Game which is the competitive multi-agent simulation environment. So, in this paper we have verified whether it is possible for each agent in the game to improve its state by seeing only its own behavior, and confirmed that the performance gain was actually possible.
KW - Indirect coordination
KW - Minority game
KW - Power law
UR - http://www.scopus.com/inward/record.url?scp=33744939704&partnerID=8YFLogxK
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U2 - 10.1007/11600930_63
DO - 10.1007/11600930_63
M3 - Conference contribution
AN - SCOPUS:33744939704
SN - 3540309004
SN - 9783540309000
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 631
EP - 640
BT - Internet and Network Economics - First International Workshop, WINE 2005, Proceedings
T2 - 1st International Workshop on Internet and Network Economics, WINE 2005
Y2 - 15 December 2005 through 17 December 2005
ER -