A Meta-Level Architecture for Strategic Reasoning in Naval Planning

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

A Meta-Level Architecture for Strategic Reasoning in Naval Planning

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

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	216-230
Journal	Lecture Notes in Computer Science
Volume	3529
Publication status	Published - 2006

Bibliographical note

conf/aois/HoogendoornJMT05
Proceedings title: Proceedings of the Seventh International Workshop on Agent-Oriented Information Systems, AOIS
Publisher: Springer
ISBN: 3-540-48291-1
Editors: M. Kolp, P. Bresciani, B. Henderson-Sellers, M. Winikoff

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AU - Jonker, C.M.

AU - van Maanen, P.P.

AU - Treur, J.

N1 - conf/aois/HoogendoornJMT05 Proceedings title: Proceedings of the Seventh International Workshop on Agent-Oriented Information Systems, AOIS Publisher: Springer ISBN: 3-540-48291-1 Editors: M. Kolp, P. Bresciani, B. Henderson-Sellers, M. Winikoff

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N2 - 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.

AB - 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.

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EP - 230

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

A Meta-Level Architecture for Strategic Reasoning in Naval Planning

Abstract

Bibliographical note

UN SDGs

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