Dynamic, distributed constraint solving and thermodynamic theory

Author:

Mailler RogerORCID,Zheng Huimin,Ridgway Anton

Funder

Division of Information and Intelligent Systems

Air Force Research Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference37 articles.

1. Mailler, R., & Zheng, H. (2014). A new analysis method for dynamic, distributed constraint satisfaction. In Proceedings of the 2014 international joint conference on autonomous agents and MultiAgent systems (AAMAS), (pp. 901–908).

2. Mailler, R. (2005). Comparing two approaches to dynamic, distributed constraint satisfaction. In Proceedings of the 4th international joint conference on autonomous agents and MultiAgent systems (AAMAS), (pp. 1049–1056).

3. Yokoo, M., & Durfee, E. H., Ishida, T., & Kuwabara, K. (1992). Distributed constraint satisfaction for formalizing distributed problem solving. In International conference on distributed computing systems (pp. 614–621).

4. Bacchus, F., & van Beek, P. (1998). On the conversion between non-binary constraint satisfaction problems. Proceedings of the 15th nationall/10th conference on artificial intelligence/innovative applications of artificial intelligence (pp. 311–318).

5. Yokoo, M., & Hirayama, K. (1996) Distributed breakout algorithm for solving distributed constraint satisfaction problems. In Proceedings of the 2nd international conference on multiagent systems (pp. 401–408).

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