Abstract
Adaptation is probably the most difficult task in Case-Based Reasoning (CBR) systems. Most techniques for adaptation propose ad-hoc solutions that require an effort on knowledge acquisition beyond typical CBR standards.
In this paper we demonstrate the applicability of domain-independent planning techniques that exploit the knowledge already acquired in many knowledge-rich approaches to CBR. Those techniques are exemplified in a case-based training system that generates a 3D scenario from a declarative description of the training case.
Supported by the Spanish Ministry of Science and Education (TIN2006-15202-C03-03 and TIN2006-15140-C03-02).
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References
Gómez-Martín, M.A., Gómez-Martín, P.P., González-Calero, P.A.: Aprendizaje activo en simulaciones interactivas. Revista Iberoamericana de Inteligencia Artificial 11(33), 25–36 (2007)
Gómez-Martín, P.P., Gómez-Martín, M.A., González-Calero, P.A.: Using metaphors in game-based education. In: Hui, K.-c., Pan, Z., Chung, R.C.-k., Wang, C.C.L., Jin, X., Göbel, S., Li, E.C.-L. (eds.) EDUTAINMENT 2007. LNCS, vol. 4469, pp. 477–488. Springer, Heidelberg (2007)
Hammond, K.J.: Case-Based Planning: Viewing Planning as a Memory Task. Academic Press, Boston (1989)
Fox, M., Long, D.: Pddl2.1: An extension to pddl for expressing temporal planning domains. Journal of Artificial Intelligence Research 20, 61–124 (2003)
Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The description logic handbook: theory, implementation, and applications. Cambridge University Press, Cambridge (2003)
McNeill, F., Bundy, A., Walton, C.: Planning from rich ontologies through translation betweeen representations. In: Proceedings of ICAPS 2005 Workshop on The Role of Ontologies in Planning and Scheduling, Monterey, CA, USA (2005)
Sirin, E.: Combining Description Logic reasoning with AI planning for composition of web services. PhD thesis, University of Maryland (2006)
Sánchez-Ruiz, A.A., González-Calero, P.A., Díaz-Agudo, B.: Planning with description logics and syntactic updates. In: Salido, M., Fdez-Olivares, J. (eds.): Planning, Scheduling and Constraint Satisfaction (CAEPIA 2007 Workshop), Universidad de Salamanca, pp. 140–150 (2007)
Kalyanpur, A.: Debugging and Repair of OWL Ontologies. PhD thesis, 2006 (2006)
Díaz-Agudo, B., González-Calero, P.: An Ontological Approach to Develop Knowledge Intensive CBR Systems. In: Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems, pp. 173–214 (2007)
Gómez-Martín, M.A., Gómez-Martín, P.P., Palmier-Campos, P., González-Calero, P.A.: Not yet another visualization tool: Learning compilers for fun. In: Panizo-Alonso, L., Sánchez-González, L., Fernández-Manjón, B., Llamas-Nistal, M. (eds.) 8th International Symposium on Computers in Education (SIIE 2006), León, Spain, Universidad de León, October 2006, pp. 264–271 (2006)
Leake, D.B., Kinley, A., Wilson, D.C.: Learning to improve case adaption by introspective reasoning and CBR. In: ICCBR, pp. 229–240 (1995)
González-Calero, P.A., Gómez-Albarrán, M., Díaz-Agudo, B.: A substitution-based adaptation model. In: ICCBR Workshops, pp. 17–26 (1999)
Wilke, W., Vollrath, I., Bergmann, R.: Using knowledge containers to model a framework for learning adaptation knowledge. In: Wettschereck, D., Aha, D.W. (eds.) European Conference on Machine Learning (MLNet) Workshop Notes — Case-Based Learning: Beyond Classification of Feature Vectors, pp. 68–75 (1997)
Hanney, K., Keane, M.T.: Learning adaptation rules from a case-base. In: Smith, I., Faltings, B.V. (eds.) EWCBR 1996. LNCS, vol. 1168, pp. 179–192. Springer, Heidelberg (1996)
Craw, S., Wiratunga, N., Rowe, R.: Learning adaptation knowledge to improve case-based reasoning. Artif. Intell. 170, 1175–1192 (2006)
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Sánchez-Ruiz, A., Gómez-Martín, P.P., Díaz-Agudo, B., González-Calero, P.A. (2008). Adaptation through Planning in Knowledge Intensive CBR . In: Althoff, KD., Bergmann, R., Minor, M., Hanft, A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science(), vol 5239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85502-6_34
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DOI: https://doi.org/10.1007/978-3-540-85502-6_34
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