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Hybrid Architecture for a Reasoning Planner Agent

  • Javier Bajo
  • Dante I. Tapia
  • Ana de Luis
  • Sara Rodríguez
  • Juan F. de Paz
  • Juan M. Corchado
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

This paper presents a hybrid architecture that facilitates the incur-poration of a case-based planning system as the reasoning motor for a deliberative agent. This architecture makes possible to solve a wide range of problems in terms of agents and multi-agent systems. The problems are resolved in terms of plans, using plans that have already been experienced.

Keywords

Case-based planning Learning Hybrid systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Javier Bajo
    • 1
  • Dante I. Tapia
    • 2
  • Ana de Luis
    • 2
  • Sara Rodríguez
    • 2
  • Juan F. de Paz
    • 2
  • Juan M. Corchado
    • 2
  1. 1.Universidad Pontificia de Salamanca, Compañía 5, 37002, SalamancaSpain
  2. 2.Departamento Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n 37008, SalamancaSpain

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