Publication - Learning Experiments in a Heterogeneous Multi-agent System
| Authors: | Prasad, Nagendra, Lesser, Victor, and Lander, Susan | ||||
| Title: | Learning Experiments in a Heterogeneous Multi-agent System | ||||
| Abstract: | Self-organization for efficient distributed search control has received much attention previously but the work presented in this paper represents one of the few attempts at demonstrating its viability and utility in an agent-based system involving complex interactions within the agent set. We discuss experiments with a heterogeneous multi-agent parametric design system called L-TEAM where machine learning techniques endow the agents with capabilities to learn their organizational roles in negotiated search and to learn meta-level knowledge about the composite search spaces. We tested the system on a steam condenser design domain and empirically demonstrated its usefulness. | ||||
| Keywords: | Learning, Multi-Agent Systems | ||||
| Publication: | IJCAI-95 Workshop on Adaptation and Learning in Multiagent Systems | ||||
| Location: | Montreal, Canada | ||||
| Date: | January 1995 | ||||
| Sources: |
PS: /Documents/nagendra_IJCAI95.ps PDF: /Documents/lesser/nagendra_IJCAI95.pdf |
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| Reference: | Prasad, Nagendra, Lesser, Victor, and Lander, Susan. Learning Experiments in a Heterogeneous Multi-agent System. IJCAI-95 Workshop on Adaptation and Learning in Multiagent Systems. January 1995. | ||||
| bibtex: | @article{Prasad-141,
author = "Nagendra Prasad and Victor Lesser and Susan Lander",
title = "{Learning Experiments in a Heterogeneous
Multi-agent System}",
journal = "IJCAI-95 Workshop on Adaptation and Learning in
Multiagent Systems",
month = "January",
year = "1995",
address = "Montreal, Canada",
url = "http://mas.cs.umass.edu/paper/141",
}
|
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