Intention Recognition via Causal Bayes Networks Plus Plan Generation

Luís Moniz Pereira, Han The Anh

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent to come up with the most likely intentions of the intending agent, i.e. solve one main issue of intention recognition; and, in case of having to make a quick decision, focus on the most important ones. Furthermore, the combination with plan generation provides a significant method to guide the recognition process with respect to hidden actions and unobservable effects, in order to confirm or disconfirm likely intentions. The absence of this articulation is a main drawback of the approaches using Bayes Networks solely, due to the combinatorial problem they encounter.
Original languageEnglish
Title of host publicationProgress in Artificial Intelligence. EPIA 2009.
EditorsLS Lopes, N Lau, P Mariano, LM Rocha
Number of pages12
ISBN (Electronic)9783642046865
Publication statusPublished - 2009
EventConference on Artificial Intelligence 2009 - Aveiro, Portugal
Duration: 12 Oct 200915 Oct 2009

Publication series

NameLecture Notes in Computer Science


ConferenceConference on Artificial Intelligence 2009
Abbreviated titleEPIA 2009
City Aveiro


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