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References
Anderson, C.W. (1987). Strategy learning with multilayer connectionist representations.Proc. 4th Int. Conf. on Machine Learning. San Francisco, CA: Morgan Kaufmann.
Barto, A. G., Sutton, R. S., & Anderson, C. W. (1983). Neuronlike adaptive elements that can solve difficult learning control problems.IEEE Trans. Syst., Man and Cybernetics, SMC-13, 834–846.
Bratko, I. (1989). Pole balancing: a study in qualitative reasoning about control.ISSEK Workshop 89. Udine, Italy.
Bratko, I. (1991). Qualitative modeling: learning and control.Proc. AI-91, Prague.
Bratko, I. (1993). Qualitative reasoning about control.Proc. IEEE ETFA '93, Cairns, Australia.
Bratko, I., Mozetič, I., & Lavrač, N. (1989).KARDIO: a Study in Deep and Qualitative Knowledge for Expert Systems. Reading, MA: The MIT Press.
Bratko, I., Muggleton, S., & Varšek, A. (1991). Learning qualitative models of dynamic systems.Inductive Logic Programming Workshop 91, Viana do Castelo, Portugal. Reprinted in (Muggleton 1992); short version inProc. Machine Learning Conf. 91, Evanston, IL. San Francisco: Morgan Kaufmann.
Coiera, E. (1989). Generating qualitative models from example behaviours. DCS Report No. 8901. Sydney, Australia: School of Electr. Eng. and Computer Sc., Univ. of New South Wales. Also inWorking Papers of Qualitative Reasoning 89 Workshop, Palo Alto, 1989.
Connel, M. E., & Utgoff, P. E. (1987). Learning to control a dynamic physical system.Proc. 6th National Conf. Artificial Intelligence. San Francisco: Morgan Kaufmann.
Dolšak, B. (1991). Determining the geometric model of finite element meshes using AI methods. (M.Sc. Thesis) Maribor, Slovenia: CAD Center, University of Maribor.
Dolšak, B., & Muggleton, S. H. (1991). The application of inductive logic programming to finite element mesh design.First Inductive Logic Programming Workshop, Viana do Castelo, Portugal. Also in S. H. Muggleton, (Ed.),Inductive Logic Programming. New York: Academic Press.
Džeroski, S., & Bratko, I. (1992). Handling noise in inductive logic programming.Inductive Logic Programming Workshop. Tokyo.
Eastwood, E. (1968). Control theory and the engineer.Proc. IEE, 115, 203–211.
Krann, I., Richards, B., & Kuipers, B. J. (1991). Automatic abduction of qualitative models,Qualitative Reasoning Workshop 91, Austin, Texas.
Kuipers, B. J. (1986). Qualitative simulation.Artificial Intelligence, 29, 289–338.
Kwakernaak, H. (1972).Linear optimal control systems. New York: John Wiley & Sons.
Langer, J.A. (1987) The construction of meaning and the assessment of comprehension: An analysis of reader performance on standardized test items. In R. Freedle, (Ed.),Cognitive and Linguistic Analyses of Test Performance. Norwood, NJ: Ablex Publishing Company.
Lavrač, N., Džeroski, S., & Grobelnik, M. (1991). Learning nonrecursive definitions of relations with LINUS.Proc. EWSL 91, Porto, Portugal. Berlin: Springer-Verlag.
Makaroviě, A. (1991). A qualitative way of solving the pole-balancing problem. In J. E. Hayes, D. Michie & E. Tyugu, (Eds.)Machine Intelligence 12. Oxford: Oxford University Press.
Michie, D. (1988). Machine learning in the next five years.Proc. EWSL-88, Glasgow.
Michie, D. (1989) Problems of computer-aided concept formation. In J. R. Quinlan (Ed.)Applications of Expert Systems, 2. Glasgow: Turing Institute Press (In association with Addison-Wesley).
Michie, D., & Chambers, R.A. (1968). Boxes: and experiment in adaptive control. In E. Dale & D. Michie, (Eds.),Machine Intelligence 2. Edinburgh: Edinburgh University Press.
Morales, E. (1992).First-order induction of patterns in chess. Ph.D. Thesis. Glasgow, Scotland: University of Strathclyde, Department of Computer Science.
Mozetič, I. (1987a). Learning of qualitative models. In I. Bratko & N. Lavrač, (Eds.)Progress in Machine Learning. Wilmslow, England: Sigma Press.
Mozetič, I. (1987b). The role of abstractions in learning qualitative models.Proc. Fourth Int. Workshop on Machine Learning. San Francisco, CA: Morgan Kaufmann.
Muggleton, S. H. (1990). Inductive logic programming.Proc. First Conf. on Algorithmic Learning Theory. Tokyo: Omsha.
Muggleton, S. H. (Ed.) (1992).Inductive Logic Programming, Academic Press.
Muggleton, S. H., & Feng, C. (1990). Efficient induction of logic programs.Proc. First Conf. on Algorithmic Learning Theory. Tokyo: Omsha.
Odetayo, M. O., & McGregor, D. R. (1989). Genetic algorithm for inducing control rules for a dynamic system.Proc. 3rd Int. Conf. Genetic Algorithms. San Francisco, CA: Morgan Kaufmann.
Quinlan, J. R. (1990). Learning logical definitions from relations.Machine Learning, 5, 239–266.
Richards, B. L. (1992)An Operator-based Approach to First-order Theory Revision. Doctoral Dissertation. Austin, Texas: Univ. of Texas Artificial Intelligence Laboratory (No. A192-181).
Sammut, C. (1988). Experimental results from an evaluation of algorithms that learn to control dynamic systems.Proc. 5th Int. Machine Learning Conf. San Francisco, CA: Morgan Kaufmann.
Selfridge, O. G., Sutton, R. S., & Barto, A. G. (1985). Training and tracking in robotics.Proc. 9th Int. Joint Conf. on Artificial Intelligence. San Francisco, CA: Morgan Kaufmann.
Urbančič, T. (1991). Automatic model-based synthesis of control rules for inverted pendulum.First European Workshop on Qualitative Reasoning about Physical Systems.
Urbančič, T., & Bratko, I. (1992). Knowledge acquisition for dynamic system control. In B. Souček, (Ed.),Dynamic, Genetic and Chaotic Programming: the Sixth Generation. New York: John Wiley & Sons.
Urbančič, T., Juričič, Dj., Filipič, B., & Bratko, I. (1992). Automated synthesis of control for nonlinear dynamic systems.1992 IFAC/IFIP/IMACS Int. Symp. on Artificial Intelligence and Real Time Control.
Varšek, A. (1991). Qualitative model evolution.Proc. IJCAI-91. San Francisco, CA: Morgan Kaufmann.
Varšek, A., Urbančič, T., & Filipič, B. (1993). Genetic algorithms in controller design and tuning.IEEE Transactions on Systems, Man and Cybernetics. SMC-23 (6): 1330–1339.
Žitnik, K. (1991). Machine learning of qualitative models. Ljubljana, Slovenia: J. Stefan Institute, Technical Report IJS-DP-6239.
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Bratko, I. Machine learning and qualitative reasoning. Mach Learn 14, 305–312 (1994). https://doi.org/10.1007/BF00993980
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DOI: https://doi.org/10.1007/BF00993980