Back to first pageBack to first page Centre for Artificial Intelligence of UNL
Browse our site
You are here:

Publication details

Go back
Publication details
Main information
Elder Care via Intention Recognition and Evolution Prospection
November 2009
elder-inap09
We explore and exemplify the application in the Elder Care context of the ability to perform Intention Recognition and of wielding Evolution Prospection methods. This is achieved by means of an articulate use of Causal Bayes Nets (for heuristically gauging probable general intentions), combined with specific generation of plans involving preferences (for checking which such intentions are plausibly being carried out in the specific situation at hand). 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.
In proceedings
Luís Moniz Pereira, Han The Anh
Salvador Abreu, Dietmar Siepel
18th Intl. Conf. on Applications of Declarative Programming and Knowledge Management (INAP'09)
-
Univ. Évora
Évora, Portugal
-
5-20
978-972-8688-62-2
-
-
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/Elder_Care.pdf
Export formats
Luís Moniz Pereira and Han The Anh, Elder Care via Intention Recognition and Evolution Prospection, in: Salvador Abreu and Dietmar Siepel (eds), 18th Intl. Conf. on Applications of Declarative Programming and Knowledge Management (INAP'09), Univ. Évora, Évora, Portugal, ISBN 978-972-8688-62-2, Pag. 5-20, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/Elder_Care.pdf), November 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>Elder Care via Intention Recognition and Evolution Prospection</b>, in: <a href="/people/members/view.php?code=e927e6f7f16b0d293c89324129b1ea0e" class="editor">Salvador Abreu</a> and Dietmar Siepel (eds), <u>18th Intl. Conf. on Applications of Declarative Programming and Knowledge Management (INAP'09)</u>, <a href="http://www.uevora.pt" title="Link to external entity..." target="_blank" class="publisher">Univ. Évora</a>, Évora, Portugal, ISBN 978-972-8688-62-2, Pag. 5-20, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/Elder_Care.pdf" target="_blank">url</a>), November 2009.
@inproceedings {elder-inap09, author = {Lu\'{\i}s Moniz Pereira and Han The Anh}, editor = {Salvador Abreu and Dietmar Siepel}, title = {Elder Care via Intention Recognition and Evolution Prospection}, booktitle = {18th Intl. Conf. on Applications of Declarative Programming and Knowledge Management (INAP'09)}, publisher = {Univ. {\'E}vora}, address = {{\'E}vora, Portugal}, pages = {5-20}, isbn = {978-972-8688-62-2}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/Elder_Care.pdf}, abstract = {We explore and exemplify the application in the Elder Care context of the ability to perform Intention Recognition and of wielding Evolution Prospection methods. This is achieved by means of an articulate use of Causal Bayes Nets (for heuristically gauging probable general intentions), combined with specific generation of plans involving preferences (for checking which such intentions are plausibly being carried out in the specific situation at hand). 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.}, keywords = {Intention Recognition, Elder Care, Causal Bayes Nets, P-Log, Evolution Prospection, Preferences}, month = {November}, year = {2009}, }
Publication's urls
/publications/view.php?code=881b6881166180c733f517582c40edab
/publications/view.php?code=elder-inap09
Go back
Centre for Artificial Intelligence of UNL
Departamento de Informática, FCT/UNL
Quinta da Torre 2829-516 CAPARICA - Portugal
Tel. (+351) 21 294 8536 FAX (+351) 21 294 8541

Fundacao_FCT