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g-BDI: A Graded Intensional Agent Model for Practical Reasoning

  • Ana Casali
  • Lluís Godo
  • Carles Sierra
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5861)

Abstract

In intentional agents, actions are derived from the mental attitudes and their relationships. In particular, preferences (positive desires) and restrictions (negative desires) are important proactive attitudes which guide agents to intentions and eventually to actions. In this paper we overview recent developments about a multi-context based agent architecture g-BDI to represent and reasoning about gradual notions of desires and intentions, including sound and complete logical formalizations. We also show that the framework is expressive enough to describe how desires, together with other information, can lead agents to intentions and finally to actions. As a case-study, we will also describe the design and implementation of recommender system on tourism as well as the results of some experiments concerning the flexibility and performance of the g-BDI model.

Keywords

Recommender System Kripke Structure Belief Degree Tourist Package Feasible Plan 
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 2009

Authors and Affiliations

  • Ana Casali
    • 1
  • Lluís Godo
    • 2
  • Carles Sierra
    • 2
  1. 1.Dept. of Computer ScienceUniversidad Nacional de Rosario (UNR), Centro Intl. Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS)RosarioArgentine
  2. 2.Institut d‘Investigació en Intel·ligència Artificial (IIIA) - CSICBellaterraSpain

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