Integrating Collaboration and Activity-Oriented Planning for Coalition Operations Support
The use of planning assistant agents is an appropriate option to provide support for members of a coalition. Planning agents can extend the human abilities and be customised to attend different kinds of activities. However, the implementation of a planning framework must also consider other important requirements for coalitions, such as the performance of collaborative activities and human-agent interaction (HAI). This paper discusses the integration of an activity-oriented planning with collaborative concepts using a constraint-based ontology for that. While the use of collaborative concepts provides a better performance to systems as a whole, a unified representation of planning and collaboration enables an easy customisation of activity handlers and the basis for a future incorporation of HAI mechanisms.
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- 1.Tate, A.: Mixed-Initiative Interaction in O-Plan. In: Proceedings of the AAAI Spring Symposium on Computational Models for Mixed-Initiative Interaction, Stanford, California, USA (1997)Google Scholar
- 2.Fergunson, G., Allen, J., Miller, B.: TRAINS-95: Towards a Mixed-Initiative Planning Assistant. In: Proceedings of the Third Conference in AI Planning Systems, pp. 70–77. AAAI Press, Menlo Park (1996)Google Scholar
- 3.Levesque, J., Cohen, P., Nunes, J.: On Acting Together. In: Proceedings of the Eighth National conference on Artificial Intelligence, Los Altos, California, USA, pp. 94–99 (1990)Google Scholar
- 4.Tambem, M.: Towards Flexible Teamwork. Journal of Artificial Intelligence Research 7, 83–124 (1997)Google Scholar
- 5.Siebra, C., Ramalho, G.: An Architecture to Support Synthetic Actors in Virtual Environments. In: Second Brazilian Workshop on Artificial Intelligence, Rio de Janeiro, Brazil (1999)Google Scholar
- 7.Nareyek, A., Fourer, R., Freuder, E., Giunchiglia, E., Goldman, R., Kautz, H., Rintanen, J., Tate, A.: Constraints and AI Planning. In: Notes from the AAAI Workshop on Constraints and AI Planning, Austin, Texas, USA (2000)Google Scholar
- 10.Tate, A.: <I-N-C-A>: an Ontology for Mixed-Initiative Synthesis Tasks. In: Proceedings of the IJCAI Workshop on Mixed-Initiative Intelligent Systems, Acapulco, Mexico (2003)Google Scholar
- 11.Cohen, P., Levesque, H.: Teamwork. Special Issue on Cognitive Science and Artificial Intelligence 25, 487–512 (1991)Google Scholar
- 12.Grosz, B., Hunsberger, L., Kraus, S.: Planning and Acting Together. AI Magazine 20(4), 23–34 (1999)Google Scholar
- 13.Tambe, M.: Towards Flexible Teamwork. Journal of Artificial Intelligence Research 7, 83–124 (1997)Google Scholar