Reducing disclosed dependencies in privacy preserving planning

Author:

Lev Lehman RotemORCID,Shani GuyORCID,Stern RoniORCID

Funder

Israel Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference29 articles.

1. Borrajo, D., & Fernandez, S. (2015). Mapr and cmap. In Proceedings of the Competition of Distributed and Multi-Agent Planners (CoDMAP-15), Jerusalem (Israel).‏

2. Brafman, R. I. (2015). A privacy preserving algorithm for multi-agent planning and search. In Twenty-Fourth International Joint Conference on Artificial Intelligence.‏

3. Brafman, R. I., & Domshlak, C. (2008). From One to Many: Planning for Loosely Coupled Multi-Agent Systems. In ICAPS (Vol. 8, pp. 28–35).‏

4. Brafman, R. I., & Domshlak, C. (2013). On the complexity of planning for agent teams and its implications for single agent planning. Artificial Intelligence, 198, 52–71.

5. Caspari, P., Mattmuller, R., & Schulte, T. (2020). A framework to prove strong privacy in multi-agent planning. In Distributed and multi-agent planning (DMAP) workshop at ICAPS.

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