Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Distributed Artificial Intelligence. Pages 620-624.
Abstract
Cooperative distributed problem solving (COPS) by loosely-coupled agents can be effectively modeled as a distributed constraint satisfaction problem (DCSP) where each agent has multiple local variables. DCSP protocols typically impose (partial) orders on agents to ensure systematic exploration of the search space, but the ordering decisions can have a dramatic effect on the overall problem-solving effort. In this paper, we examine several heuristics for ordering agents, and conclude that the best heuristics attempt to order agents based on the cumulative difficulty of finding assignments to their local variables. Less costly heuristics are sometimes also effective depending on the structure of the variables' constraints, and we describe the tradeoffs between heuristic cost and quality . Finally, we also show that a combined heuristic, with weightings determined through a genetic algorithm, can lead to the best performance.
@inproceedings{ijcai1997p91,
title = {Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems},
author = {Armstrong, Aaron A. and Durfee, Edmund H.},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {620--624},
year = {1997},
note = {Distributed Artificial Intelligence},
url = {https://ijcai.org/proceedings/1997/91},
}
TY - CPAPER TI - Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems AU - Armstrong, Aaron A. AU - Durfee, Edmund H. T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 620 EP - 624 UR - https://ijcai.org/proceedings/1997/91 ER -Copied
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