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Towards Practical Tabled Abduction Usable in Decision Making
June 2013
KES-IDT 2013
Abduction as reasoning paradigm has been much explored in Artificial Intelligence, but not yet taken up by decision making as much as its potential warrants. Indeed, abduction permits the generation of hypothetical knowledge based scenarios, about which one can then equate decisions. One reason for this state of affairs is that abduction is difficult to implement efficaciously, even by experts, which entails that abductive systems are not readily available for decision making. Our concept of tabled abduction mitigates this, in the abductive logic programming system TABDUAL. The contribution of this paper is three-fold: (1) We discuss some TABDUAL improvements towards its more practical use, particularly in decision making, (2) We show that declarative debugging can be viewed as abduction in logic programming, thus showing another potential of abduction for decision making, and (3) We describe how TABDUAL can be applied in decision making and examine its benefit.
In proceedings
Ari Saptawijaya, Luís Moniz Pereira
Rui Neves-Silva, Junzo Watada, Gloria Phillips-Wren, Lakhmi C. Jain, Robert J. Howlett
Intelligent Decision Technologies, Procs. 5th KES International Conference on Intelligent Decision Technologies
Frontiers of Artificial Intelligence and Applications (FAIA)
IOS Press
http://ebooks.iospress.nl/volume/intelligent-decision-technologies
255
429-438
978-1-61499-263-9
-
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/tabdual_decision_making.pdf
http://ebooks.iospress.nl/publication/33580
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Ari Saptawijaya and Luís Moniz Pereira, Towards Practical Tabled Abduction Usable in Decision Making, in: Rui Neves-Silva and Junzo Watada and Gloria Phillips-Wren and Lakhmi C. Jain and Robert J. Howlett (eds), Intelligent Decision Technologies, Procs. 5th KES International Conference on Intelligent Decision Technologies, Frontiers of Artificial Intelligence and Applications (FAIA), IOS Press, http://ebooks.iospress.nl/volume/intelligent-decision-technologies, Vol. 255, ISBN 978-1-61499-263-9, Pag. 429-438, (http://ebooks.iospress.nl/publication/33580), http://centria.di.fct.unl.pt/~lmp/publications/online-papers/tabdual_decision_making.pdf, June 2013.
<a href="/people/members/view.php?code=3296a2fcb759ac3f30bc313a41f955bc" class="author">Ari Saptawijaya</a> and <a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a>, <b>Towards Practical Tabled Abduction Usable in Decision Making</b>, in: Rui Neves-Silva, Junzo Watada, Gloria Phillips-Wren, Lakhmi C. Jain and Robert J. Howlett (eds), <u>Intelligent Decision Technologies, Procs. 5th KES International Conference on Intelligent Decision Technologies</u>, Frontiers of Artificial Intelligence and Applications (FAIA), <a href="http://www.iospress.nl/" title="Link to external entity..." target="_blank" class="publisher">IOS Press</a>, http://ebooks.iospress.nl/volume/intelligent-decision-technologies, Vol. 255, ISBN 978-1-61499-263-9, Pag. 429-438, (<a href="http://ebooks.iospress.nl/publication/33580" target="_blank">url</a>), <i>http://centria.di.fct.unl.pt/~lmp/publications/online-papers/tabdual_decision_making.pdf</i>, June 2013.
@inproceedings {KES-IDT 2013, author = {Ari Saptawijaya and Lu\'{\i}s Moniz Pereira}, editor = {Rui Neves-Silva and Junzo Watada and Gloria Phillips-Wren and Lakhmi C. Jain and Robert J. Howlett}, title = {Towards Practical Tabled Abduction Usable in Decision Making}, booktitle = {Intelligent Decision Technologies, Procs. 5th KES International Conference on Intelligent Decision Technologies}, series = {Frontiers of Artificial Intelligence and Applications (FAIA)}, publisher = {IOS Press}, address = {http://ebooks.iospress.nl/volume/intelligent-decision-technologies}, volume = {255}, pages = {429-438}, isbn = {978-1-61499-263-9}, note = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/tabdual_decision_making.pdf}, url = {http://ebooks.iospress.nl/publication/33580}, abstract = {Abduction as reasoning paradigm has been much explored in Artificial Intelligence, but not yet taken up by decision making as much as its potential warrants. Indeed, abduction permits the generation of hypothetical knowledge based scenarios, about which one can then equate decisions. One reason for this state of affairs is that abduction is difficult to implement efficaciously, even by experts, which entails that abductive systems are not readily available for decision making. Our concept of tabled abduction mitigates this, in the abductive logic programming system TABDUAL. The contribution of this paper is three-fold: (1) We discuss some TABDUAL improvements towards its more practical use, particularly in decision making, (2) We show that declarative debugging can be viewed as abduction in logic programming, thus showing another potential of abduction for decision making, and (3) We describe how TABDUAL can be applied in decision making and examine its benefit.}, keywords = {tabled abductio,abductive logic programming,declarative debugging,decision making}, month = {June}, year = {2013}, }
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