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

M. Hoogendoorn, C.M. Jonker, P.P. van Maanen, J. Treur

Research output: Contribution to JournalArticleAcademicpeer-review

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. © 2009 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)589-599
JournalKnowledge-Based Systems
Volume22
DOIs
Publication statusPublished - 2009

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Planning
Simulation
Agent-based
Strategic planning
Agent-based model

Cite this

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author = "M. Hoogendoorn and C.M. Jonker and {van Maanen}, P.P. and J. Treur",
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Agent-Based Analysis and Simulation of Meta-Reasoning Processes in Strategic Naval Planning. / Hoogendoorn, M.; Jonker, C.M.; van Maanen, P.P.; Treur, J.

In: Knowledge-Based Systems, Vol. 22, 2009, p. 589-599.

Research output: Contribution to JournalArticleAcademicpeer-review

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AB - 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.

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