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Intention Recognition via Causal Bayes Networks plus Plan Generation
October 2009
intention-epia09
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.
In proceedings
Luís Moniz Pereira, Han The Anh
L. Seabra Lopes, Nuno Lau, P. Mariano, L. Rocha
14th Portuguese Intl.Conf. on Artificial Intelligence (EPIA'09)
LNAI
Springer
-
5816
138-149
-
-
-
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/EPIA09-intention-recognition.pdf
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Luís Moniz Pereira and Han The Anh, Intention Recognition via Causal Bayes Networks plus Plan Generation, in: L. Seabra Lopes and Nuno Lau and P. Mariano and L. Rocha (eds), 14th Portuguese Intl.Conf. on Artificial Intelligence (EPIA'09), LNAI, Springer, Vol. 5816, Pag. 138-149, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/EPIA09-intention-recognition.pdf), October 2009.
<a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a> and <a href="/people/members/view.php?code=cdc7090d1f84f56c0671baa36e87bd77" class="author">Han The Anh</a>, <b>Intention Recognition via Causal Bayes Networks plus Plan Generation</b>, in: L. Seabra Lopes, Nuno Lau, P. Mariano and L. Rocha (eds), <u>14th Portuguese Intl.Conf. on Artificial Intelligence (EPIA'09)</u>, LNAI, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Vol. 5816, Pag. 138-149, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/EPIA09-intention-recognition.pdf" target="_blank">url</a>), October 2009.
@inproceedings {intention-epia09, author = {Lu\'{\i}s Moniz Pereira and Han The Anh}, editor = {L. Seabra Lopes and Nuno Lau and P. Mariano and L. Rocha}, title = {Intention Recognition via Causal Bayes Networks plus Plan Generation}, booktitle = {14th Portuguese Intl.Conf. on Artificial Intelligence (EPIA'09)}, series = {LNAI}, publisher = {Springer}, volume = {5816}, pages = {138-149}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/EPIA09-intention-recognition.pdf}, abstract = {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.}, keywords = {Intention recognition, Causal Bayes Networks, Plan generation, Plog, ASCP, Logic Programming}, month = {October}, year = {2009}, }
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