Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning
article
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. © 2009 Elsevier B.V. All rights reserved.
TNO Identifier
242127
ISSN
09507051
Source
Knowledge-Based Systems, 22(8), pp. 589-599.
Pages
589-599
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