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

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

doi:10.1016/j.knosys.2009.05.003

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 Journal › Article › Academic › peer-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 language	English
Pages (from-to)	589-599
Journal	Knowledge-Based Systems
Volume	22
DOIs	https://doi.org/10.1016/j.knosys.2009.05.003
Publication status	Published - 2009

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10.1016/j.knosys.2009.05.003

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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. {\textcopyright} 2009 Elsevier B.V. All rights reserved.",

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

Abstract

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