Domain-independent planning: representation and plan generation
Artificial Intelligence
Evaluation of modeling techniques for agent-based systems
Proceedings of the fifth international conference on Autonomous agents
Meta-Level Architectures and Reflection
Meta-Level Architectures and Reflection
Agent Modelling in METATEM and DESIRE
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Decision-making in an embedded reasoning system
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A temporal modelling environment for internally grounded beliefs, desires and intentions
Cognitive Systems Research
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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.