Intention Recognition with Evolution Prospection and Causal Bayesian Networks

Luís Moniz Pereira, Han The Anh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


We describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. We explore and exemplify the application, in the Elder Care context, of the ability to perform Intention Recognition and of wielding Evolution Prospection methods to help the Elder achieve its intentions. This is achieved by means of an articulate use of a Causal Bayes Network to heuristically gauge probable general intention – combined with specific generation of plans involving preferences – for checking which such in- tentions are plausibly being carried out in the specific situation at hand, and suggesting actions to the Elder. The overall approach is formulated within one coherent and general logic programming framework and implemented system. The paper recaps required background and illustrates the approach via an extended application example.
Original languageEnglish
Title of host publicationComputational Intelligence for Engineering Systems 3
Subtitle of host publicationEmergent Applications
EditorsAna Madureira, Judite Ferreira, Zita Vale
Place of PublicationDordrecht
Number of pages33
ISBN (Electronic)978-94-007-0093-2
ISBN (Print)978-94-007-0092-5, 978-94-007-3444-9
Publication statusPublished - 1 Jan 2011

Publication series

NameIntelligent Systems, Control and Automation: Science and Engineering Book Series


  • Intention recognition
  • Elder Care
  • Causal Bayes Networks
  • Plan generation
  • Evolution Prospection
  • Preferences


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