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Development of CBR-BDI Agents: A Tourist Guide Application

  • Juan M. Corchado
  • Juan Pavón
  • Emilio S. Corchado
  • Luis F. Castillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3155)

Abstract

In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reasoning techniques. This application shows how to develop adaptive agents with a goal driven design and a decision process built on a CBR architecture. The resulting agent architecture has been validated by real users who have used the tourist guide application, on a mobile device, and can be generalized for the development of other personalized services.

Keywords

Multiagent System Tourist Guide Variational Calculus Agent Architecture Planner Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Juan M. Corchado
    • 1
  • Juan Pavón
    • 2
  • Emilio S. Corchado
    • 3
  • Luis F. Castillo
    • 1
  1. 1.Dep. Informática y AutomáticaUniversidad de SalamancaSalamancaSpain
  2. 2.Dep. Sistemas Informáticos y ProgramaciónUniversidad Complutense MadridMadridSpain
  3. 3.Department of Civil EngineeringUniversity of Burgos, SpainBurgosSpain

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