Agent-Based Analysis and Simulation of Meta-Reasoning Processes in Strategic Naval Planning

Abstract. This paper presents analysis and simulation of meta-reasoning processes based on an agent-based meta-level architecture for strategic reasoning in naval planning. The architecture was designed as a generic agent model and instantiated with decision knowledge acquired from naval domain experts and was specified as an executable agent-based model which has been used to perform a number of simulations. To evaluate the simulation results, relevant properties for the planning decision were identified and formalized. These properties have been validated for the simulation traces. Keywords: Meta-reasoning, simulation, planning, intelligent agent systems.

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 strategic reasoning in naval planning. The architecture is instantiated with decision knowledge acquired from naval domain experts and is formed into an executable agentbased 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. 1