TY - GEN
T1 - Learning message-related coordination control in multiagent systems
AU - Sugawara, Toshiharu
AU - Kurihara, Satoshi
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.
PY - 1998
Y1 - 1998
N2 - This paper introduces the learning mechanism by which agents can identify, through experience, important messages in the context of inference in a specific situation. At first, agents may not be able to immediately read and process important messages because of inappropriate ratings, incomplete non-local information, or insufficient knowledge for coordinated actions. By analyzing the history of past inferences with other agents, however, they can identify which messages were really used. Agents then generate situation-specific rules for understanding important messages when a similar problem-solving context appears. This paper also gives an example for explaining how agents can generate the control rule.
AB - This paper introduces the learning mechanism by which agents can identify, through experience, important messages in the context of inference in a specific situation. At first, agents may not be able to immediately read and process important messages because of inappropriate ratings, incomplete non-local information, or insufficient knowledge for coordinated actions. By analyzing the history of past inferences with other agents, however, they can identify which messages were really used. Agents then generate situation-specific rules for understanding important messages when a similar problem-solving context appears. This paper also gives an example for explaining how agents can generate the control rule.
KW - Multi-agent learning
KW - Multi-agent planning
KW - Reasoning about coordinated interactions
UR - http://www.scopus.com/inward/record.url?scp=84961378297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961378297&partnerID=8YFLogxK
U2 - 10.1007/10693067_3
DO - 10.1007/10693067_3
M3 - Conference contribution
AN - SCOPUS:84961378297
SN - 3540654771
SN - 9783540654773
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 29
EP - 44
BT - Multi-Agent Systems
A2 - Zhang, Chenqi
A2 - Lukose, Dickson
PB - Springer Verlag
T2 - 4th Australian Workshop on Distributed Artificial Intelligence, DAK 1998
Y2 - 13 July 1998 through 13 July 1998
ER -