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.
|Journal||Lecture Notes in Computer Science|
|Publication status||Published - 2006|
Proceedings title: Proceedings of the Seventh International Workshop on Agent-Oriented Information Systems, AOIS
Editors: M. Kolp, P. Bresciani, B. Henderson-Sellers, M. Winikoff