ML Anthology

Strategies of Cooperation in Distributed Problem Solving

Stephanie J. Cammarata, David McArthur, Randall Steeb
IJCAI 1983 pp. 767-770
doi:10.1016/B978-0-934613-63-7.50012-7 /ijcai/1983/cammarata1983ijcai-strategies/

Abstract

Distributed Artificial Intelligence is concerned with problem solving in which groups solve tasks. In this paper we describe strategies of cooperation that groups require to solve shared tasks effectively. We discuss such strategies in the context of a specific group problem solving application: collision avoidance in air traffic control. Experimental findings with four distinct air-traffic control systems, each implementing a different cooperative strategy, are mentioned.

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Text

Cammarata et al. "Strategies of Cooperation in Distributed Problem Solving." International Joint Conference on Artificial Intelligence, 1983. doi:10.1016/B978-0-934613-63-7.50012-7

Markdown

[Cammarata et al. "Strategies of Cooperation in Distributed Problem Solving." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/cammarata1983ijcai-strategies/) doi:10.1016/B978-0-934613-63-7.50012-7

BibTeX

@inproceedings{cammarata1983ijcai-strategies,
  title     = {{Strategies of Cooperation in Distributed Problem Solving}},
  author    = {Cammarata, Stephanie J. and McArthur, David and Steeb, Randall},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1983},
  pages     = {767-770},
  doi       = {10.1016/B978-0-934613-63-7.50012-7},
  url       = {https://mlanthology.org/ijcai/1983/cammarata1983ijcai-strategies/}
}