Mathematical model for dynamic case-based planning

Abstract

This paper presents a case-based planning and beliefs, desires, intentions (CBP–BDI) planning model which incorporates a novel artificial neural network. The CBP–BDI model, which is integrated within an agent, is the core of a multi-agent system that allows managing the security in industrial environments. The BDI model integrates within a CBP engine of reasoning that incorporates artificial neural network-based techniques, and in this way it is possible to adapt past experiences to generate new plans. The proposed model uses self-organized maps to calculate optimum routes for the security guards. Besides, some technologies of ambient intelligence such as radio-frequency identification and Wi-Fi are used to develop the intelligent environment that has been tested and analysed in this paper.

Keywords:

• multi-agent systems
• case-based reasoning
• cased-based planning
• beliefs
• desires
• intentions
• ambient inteligent
• self-organized maps
• RFID

2000 AMS Subject Classifications :

• 68T05
• 68T20
• 68T27
• 68T37
• 68W15

Acknowledgements

This work was supported in part by the projects MEC THOMAS TIN2006-14630-C03-03, IMSERSO 137/07 and JCYL SA071A08.