An agent-based meta-level architecture for strategic reasoning in naval planning

  • Authors:
  • Mark Hoogendoorn;Catholijn M. Jonker;Peter-Paul van Maanen;Jan Treur

  • Affiliations:
  • Dept. of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, Nijmegen, The Netherlands;Dept. of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Dept. of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

  • Venue:
  • AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.