An Agent-Based Meta-level Architecture for Strategic Reasoning in Naval Planning
The management of naval organizations aims at the maximization of mission success by means of monitoring, planning and strategic reasoning. This paper presents an agent-based meta-level architecture for the improvement of automated strategic reasoning in naval planning. The architecture is instantiated with decision knowledge acquired from naval domain experts and is formed into an executable agent-based model, which is used to perform a number of simulation runs. To evaluate the simulation results, relevant properties for the planning decision are identified and formalized. These important properties are validated for the simulation traces.
KeywordsMeta-reasoning planning intelligent agent systems
Unable to display preview. Download preview PDF.
- 4.Shehory, O., Sturm, A.: Evaluation of modeling techniques for agent-based systems. In: Proceedings of the fifth international conference on Autonomous agents, Montreal, Canada, pp. 624–631 (2001)Google Scholar
- 10.Bowen, K., Kowalski, R.: Amalgamating language and meta-language in logic program-ming. In: Clark, K., Tarnlund, S. (eds.) Logic programming. Academic Press, London (1982)Google Scholar
- 12.Brazier, F.M.T., van Langen, P.H.G., Treur, J.: Strategic Knowledge in Design: a Compositional Approach. In: Hori, K. (ed.) Knowledge-based Systems, 11 Special Issue on Strategic Knowledge and Concept Formation, pp. 405–416 (1998)Google Scholar
- 13.Georgeff, M.P., Ingrand, F.F.: Decision-making in an embedded reasoning system. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-1989), Detroit, MI, pp. 972–978 (1989)Google Scholar
- 14.Sokolowski, J.: Enhanced Military Decision Modeling Using a MultiAgent System Approach. In: Proceedings of the Twelfth Conference on Behavior Representation in Modeling and Simulation, Scottsdale, AZ, May 12-15, pp. 179–186 (2003)Google Scholar
- 15.Pew, R.W., Mavor, A.S.: Modeling Human and Organizational Behavior. National Academy Press, Washington (1999)Google Scholar