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Lectura obligatoria

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Autores: Ricardo Aler Mur, Fernando Fernández Rebollo, Raquel Fuentetaja Pizan, David Quintana Montero
En este apartado encontraremos enlaces a ficheros (HTML, PDF, Word...) de materiales de lectura de la asignatura, listado bibliográfico o enlaces web a lecturas online.

  • LO-B-001. Flener, P., & Schmid, U. (2008). An introduction to inductive programming. Artificial Intelligence Review, 29(1), 45-62.
  • LO-B-002. Lowry, M., Philpot, A., Pressburger, T., & Underwood, I. (1994). Amphion: Automatic programming for scientific subroutine libraries. In Methodologies for Intelligent Systems (pp. 326-335). Springer Berlin Heidelberg.
  • LO-B-003. Lowry, M., Philpot, A., Pressburger, T., & Underwood, I. (1994). Mo, D. H., & Witten, I. H. (1992). Learning text editing tasks from examples: a procedural approach. Behaviour & Information Technology, 11(1), 32-45.
  • LO-B-004. Summers, P. D. (1977). A methodology for LISP program construction from examples. J. ACM. 24(1), 161{175. Reprinted in C. Rich and R. C. Waters, editors, Readings in Arti cial Intelligence and Software Engineering, Morgan Kaufmann, 1986.
  • LO-B-005. Smith, D. R. (1984). The synthesis of LISP programs from examples: A survey. In Biermann et al, A. W., editor, Automatic Program Construction Techniques, pages 307{324. Macmillan, New York, NY.
  • LO-B-006. Sammut, C., Hurst, S., Kedzier, D., & Michie, D. (2002). 7 Learning to Fly. Imitation in animals and artifacts, 171.
  • LO-B-007. Thurau, C., Bauckhage, C., & Sagerer, G. (2004, November). Imitation learning at all levels of game-AI. In Proceedings of the international conference on computer games, artificial intelligence, design and education (pp. 402-408).
  • LO-B-008. Funes, P., Sklar, E., Juillé, H., & Pollack, J. (1998). Animal-animat coevolution: Using the animal population as fitness function. From Animals to Animats, 5, 525-533.
  • LO-B-009. Olsson, R. (1995). Inductive functional programming using incremental program transformation. Artificial intelligence, 74(1), 55-81.
  • LO-B-010. Salustowicz, R., & Schmidhuber, J. (1997). Probabilistic incremental program evolution. Evolutionary Computation, 5(2), 123-141.
  • LO-B-013. Fernando Fernández, Manuela Veloso. Learning Domain Structure Through Probablistic Policy Reuse in Reinforcement Learning. Progress in Artificial Intelligence 2(1), 2013
  • LO-B-014. Fernando Fernández, Daniel Borrajo. Aprendizaje por Refuerzo. Capítulo 11 del libro Aprendizaje Automático: conceptos básicos y avanzados. Eds Basilio Sierra Araujo, Pearson Prentice Hall. 2006
  • LO-B-015. Petrovic, P. (2005).Evolving automatons for distributed behavior arbitration
    Pavel Petrovic. IDI/NTNU Technical Report 05/2005.
  • LO-B-016. Sigaud, O., Wilson, S. W. (2007) Learning Classifier Systems: A Survey, Soft Computing 11(11), 1065-1078.
  • LO-B-017. Urbanowicz, R. J., Moore, J.M (2009). Learning Classifier Systems: A Complete Introduction, Review, and Roadmap. Journal of Artificial Evolution and Applications. http://dx.doi.org/10.1155/2009/736398.

 

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