TY - GEN
T1 - Cooperative behavior of agents based on potential field
AU - Katoh, Takashi
AU - Hoshi, Kensaku
AU - Shiratori, Norio
PY - 2005
Y1 - 2005
N2 - In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.
AB - In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.
UR - http://www.scopus.com/inward/record.url?scp=33646148730&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646148730&partnerID=8YFLogxK
U2 - 10.1007/11559221_24
DO - 10.1007/11559221_24
M3 - Conference contribution
AN - SCOPUS:33646148730
SN - 354029046X
SN - 9783540290469
VL - 3690 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 236
EP - 245
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005
Y2 - 15 September 2005 through 17 September 2005
ER -