Aprenentatge artificial i adquisició del coneixement
Bibliografia general
- Anthony, M. and Biggs, N., Computational Learning Theory, Cambridge University Press, 1992
- Kodratoff, Y., Introduction to Machine Learning, Morgan Kaufmann Publishers, Inc., 1988
- Langley, P., Elements of Machine Learning, Morgan Kaufmann Publishers, Inc., 1996
- Mitchell, T., Machine Learning, McGraw Hill, 1997
- Moreno, A. et al., Aprendizaje automático, Edicions UPC, 1994
- Shavlik, J. and Dietterich, T., Readings in Machine Learning, Morgan Kaufmann
- Weiss, S.M. and Kulikowski, C.A., Computer Systems that Learn, Morgan Kaufmann Publishers, Inc., 1991
Bibliografia per temes
Aprenentatge inductiu
- Bratko et al., ASSISTANT 86: A knowledge-elicitation tool for sophisticated users, Sigma Press, 1986
- P. Cheeseman et al., AUTOCLASS: A Bayesian classification system, In Morgan Kaufmann, editor, Fifth International Conference on Machine Learning, pages 54-64, 1988
- E. Feigenbaum, The simulation of verbal learning behavior, In Western Joint Computer Conference, pages 121-132, 1961
- E. Feigenbaum and H.A. Simon, EPAM-like models of recognition and learning, Cognitive science, 8:305-336, 1984
- D. Fisher and J. Schlimmer, A case study of incremental concept induction, In Procs. of the fifth Nat. Conf. on Artificial Intelligence, 1986
- D. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, Machine Learning, 2:139-172, 1987
- J.H.Genari et al., Models of incremental concept formation, Applied Artificial Intelligence, 40:11-61, 1989
- S.J. Hanson and M. Bauer, Conceptual Clustering, Categorisation and Polymorphy, Machine Learning, 3:343-372, 1986
- J.L. Kolodner, Reconstructive memory: A computer model, Cognitive Science, 7:281-328, 1983
- M. Lebowitz, Experiments with incremental concept formation: UNIMEM, Machine Learning, 2:103-138, 1987
- R. López de Mántaras, A distance-based attribute selection measure for decision tree induction, Machine Learning, Kluwer Academic, 1991
- R.S. Michalski, Knowledge acquisition through conceptual clustering: A theorical framework and algorithm for partitioning data into conjuctive concepts, International Journal of Policy Analysis and Information Systems 4:219-243, 1980
- R.S. Michalski and R.E. Steep, Conceptual Clustering: Inventing goal oriented classifications of structured objects, In J. Carbonell, editor, Machine Learning: An Artificial Intelligence Approach II, chapter 11, Ed. Tioga, Palo Alto, California, 1986
- J.R. Quinlan, Discovering rules from large collections of examples: a case study, Edinburgh University Press, 1979
- J.R. Quinlan, Induction of decision trees, Machine Learning 1:81-106, 1986
- P. Utgoff, Incremental learning of decision trees, machine Learning, Kluwer Academic, 1990
- W. Van de Velde, Incremental induction of topologically minimal trees, In Procs. of the Seventh IJCAI, 1990
Aprenentatge deductiu
- T.R. Davies and S.J. Russell, A logical approach to reasoning by analogy, In Proc. 10th International Conference on Artificial Intelligence, pages 264-270, 1986
- R.E. Fikes, P.E. Hart and N.J. Nilsson, Learning and executing generalized robot plans, Artificial Intelligence, 3:251-288, 1972
- J. Laird, P. Rosenbloom and A. Newell, Universal subgoaling and chunking, Kluwer Academic Publishers, 1986
- S. Minton, Learning effective search control knowledge: An explanation-based approach, PhD thesis, Carnegie Mellon University, Computer Science Department, 1988
- T.M. Mitchell et al., Explanation-based learning: A unifying view, Machine Learning 1(1):47-80, 1986
- D.J. Mostow, Machine transformation of advice into heuristic search procedure, In Proc. Int. Workshop on Machine Learning, pages 110-116, 1983
- S.J. Russell, Preliminary steps toward the automation of induction, In Proc. 7th National Conference on Artificial Intelligence, pages 477-484, 1986
- P.S. Rosenbloom and A. Newell, The chunking of goal hierarchies: A generalized model of practice, In Machine Learning: An Artificial Intelligence Approach, Vol. II, pages 247-288, 1986
Aprenentatge analògic - Raonament basat en casos
- A. Aamodt and E. Plaza, Case-Based Reasoning: Foundational Issues, Methological Variations, and System Approaches, AICOM 7, pages 39-59, 1994
- D. Aha et al., Instance-Based Learning Algorithms, Machine Learning 6(1), 1991
- R.P. Hall, Computational approaches to analogical reasoning: A comparative analisys, Artificial Intelligence Vol.39, No.1, pages 39-120, 1989
- S. Kedar-Cabelli, Analogy from a unified perspective, In D.H. Helman (ed.), Analogical reasoning, Kluwer Academic, pages 65-103, 1988
- D. Kibler and D. Aha, Learning representative exemplars of concepts; An initial study, Proceedings of the Fourth International Workshop on Machine Learning, UC-Irvine, pages 24-29, June 1987
- H. Kitano, Challenges for massive parallelism, IJCAI'93, Chambery, France, Morgan Kaufmann, pages 813-834, 1993
- J. Kolodner, Case-Based Reasoning, Morgan Kaufmann Publishers Inc., 1993
- J. Kolodner, Retrieving events from case memory: A parallel implementation, Proceedings from the case-Based Reasoning Workshop, DARPA, Clearwater Beach, pages 233-249, 1988
- D.B. Leake, Case-Based Reasoning. Experiences, Lessons, & Future directions, MIT Press, 1996
- M. Lenz et al., Case-Based Reasoning Technology: From Foundations to Applications, Springer-Verlag, 1998
- B. Porter and R. Bareiss, PROTOS: An experiment in knowledge acquisition for heuristic classification tasks, Proceedings of the First International Meeting on Advances in Learning (IMAL), Les Arcs, France, pages 159-174, 1986
- C.K. Riesbeck and R.C. Schank, Inside Case-Based Reasoning, LawrenceErlbaum Associates, publishers, 1989
- C. Stanfill and D. Waltz, The memory based reasoning paradigm, In case Based Reasoning. Proceedings from a workshop, Clearwater Beach, Florida, Morgan Kaufmann Publ., pages 414-424, May 1988
- M.M. Veloso and J. Carbonell, Derivational analogy in PRODIGY, In Machine Learning 10(3), pages 249-278, 1993
- I. Watson, Applying Case-Based Reasoning: Techniques for Enterprise Systems, Morgan Kaufmann Pub. Inc., 1997
PROFESSORS – Grup
de Recerca de Sistemes Intel·ligents:
Elisabet Golobardes i Ribé
Email: elisabet@salleurl.edu
Telèfon: 93 290 24 33
Despatx: L43 (4a planta – Edifici Lluçanès)
Ester Bernadó i Mansilla
Email: esterb@salleurl.edu
Telèfon: 93 290 24 39
Despatx: L47 (4a planta – Edifici Lluçanès)
Josep Maria Garrell i Guiu
Email: josepmg@salleurl.edu
Telèfon: 93 290 24 39
Despatx: L47 (4a planta – Edifici Lluçanès)
Grup de Recerca en Sistemes Intel·ligents: <http://web.salleurl.edu/GRSI/>
Enginyeria i Arquitectura La Salle - Universitat Ramon Llull
Quatre Camins, 2 – 08022 Barcelona