Learning implicit resource relationships from past plans in multi-agent systems

Authors:
Toshiharu Sugawara;Satoshi Kurihara;Osamu Akashi
Affiliations:
NTT Network Innovation Labs., Tokyo, Japan;NTT Network Innovation Labs., Tokyo, Japan;NTT Network Innovation Labs., Tokyo, Japan
Venue:
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Year:
2003

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Abstract

This paper discusses storing and analyzing the hierarchical planning results in the past in order to identify implicit costs and resource relationships between activities in multi-agent contexts.