An MDP approach for explanation generation

AAAI Workshop - Technical Report

Volumn WS-07-06, Issue , 2007, Pages 28-33

  Elizalde, Francisco ^a   Sucar, Enrique ^b   Reyes, Alberto ^c   Debuen, Pablo ^c  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

^b INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^c INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATICALLY GENERATED; DECISION MODELING; DOMAIN EXPERTS; GENERATION MECHANISM; INCORRECT ACTION; PLANNING SYSTEMS; PLANT OPERATORS; TECHNICAL REPORTS; USER STUDIES;

ELECTRIC POWER PLANTS; POWER PLANTS;

STAGES;

EID: 51849115437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Bellman, R. 1957. Dynamic Programming. Princeton, N.J.: Princeton U. Press.
2. Bielza, C.; del Pozo, J. F.; and Lucas, P. 2003. Optimal decision explanation by extracting regularity patterns. In Coenen, F.; Preece, A.; and Macintosh, A., eds., Research and Development in Intelligent Systems XX, 283-294. Springer-Verlag.
3. Dean, T., and Kanasawa, K. 1989. A model for reasoning about persistence and causation. Computational Intelligence 5:142-150.
4. Dearden, R., and Boutillier, R. 1997. Abstraction and approximate decision-theoretic planning. Artificial Intelligence 89:219-283.
5. Druzdzel, M. 1991. Explanation in probabilistic systems: is it feasible? is it work? In Intelligent information systems V, Proceedings of the workshop, 12-24.
6. Elizalde, F.; Sucar, E.; and deBuen, P. 2005. A prototype of an intelligent assistant for operator's training. In International Colloquium for the Power Industry. México: CIGRE-D2.
7. Herrmann, J.; Kloth, M.; and Feldkamp, F. 1998. The role of explanation in an intelligent assistant system. In Artificial Intelligence in Engineering, volume 12, 107-126. Elsevier Science Limited.
8. Lacave, C.; Atienza, R.; and Diez, F. 2000. Graphical explanations in bayesian networks. In Lecture Notes in Computer Science, volume 1933, 122-129. Springer-Veralg.
9. Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA: Morgan Kaufmann.
10. Petri, C. 1962. Kommunikation mit Automaten. Phd. thesis, Faculty of Mathematics and Physics at the Technische Universitt, Darmstadt, Germany.
11. Puterman, M. 1994. Markov Decision Processes: Discrete Stochastic Dynamic Programming. New York: Wiley.
12. Renooij, S., and Van-DerGaa, L. 1998. Decision making in qualitative influence diagrams. In Proceedings of the Eleventh International FLAIRS Conference, 410-414. Menlo Park, California: AAAI Press.
13. Reyes, A.; Sucar, L. E.; Morales, E.; and Ibarguengoytia, P. H. 2006. Solving hybrid markov decision proceses. In MICAI2006: Advances in Artificial Intelligence. Apizaco, Mexico: Springer-Verlag.
14. Reyes, A.; Ibarguengoytia, P. H.; and Sucar, L. E. 2004. Power plant operator assistant: An industrial application of factored mdps. In Monroy, R.; G, A.; Sucar, L.; and Sossa, H., eds., MICAI2004: Advances in Artificial Intelligence, 565-573. Mexico, City: Springer-Verlag.
15. Wellman, M. 1990. Graphical inference in qualitative probabilistic networks. Networks: an international journal 20:687-701.