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Acknowledgments

The authors wish to express their gratitude to Pavel Brazdil for encouragement on this work as well for his work on the KI methodology.

REFERENCES

Brazdil, P., and Clark, P. : "Learning from Imperfect Data", in Proceedings of International Workshop on Machine Learning, Meta Reasoning and Logics, Sesimbra, Portugal, 1988.

Brazdil, P., and Torgo, L. : "Knowledge Acquisition via Knowledge Integration", in Current Trends in Knowledge Acquisition , B.Wielinga, et. al (eds), IOS Press, 1990.

Brazdil, P., and Torgo, L. (1990b) : "Knowledge Integration and Learning", working paper, LIACC, University of Porto, 1990.

Cestnik, B., Kononenko, I., Bratko, I. : "ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users", in Progress in Machine Learning, I.Bratko and N.Lavrac (eds), Sigma Press, Wilmslow, 1987.

Kubat, M. : "Floating Approximation in Time-Varying Knowledge Bases", in Pattern Recognition Letters (vol.10), 1989.

Markovitch, S., and Scott, P. D. : "The role of forgetting in Learning", in Proceedings of the 5th International Workshop on Machine Learning, Ann Arbor, U.S.A., 1988.

Markovitch, S., and Scott, P. D. : "Information Filters and their Implementation in the SYLLOG System", in Proceeding of the 6th International Workshop on Machine Learning, New York, 1989.

Michalski, R.S. : "A theory and methodology of inductive learning", in Machine Learning - an Artifficial Intelligence Approach , Michalski et. all (Eds), Tioga Publishing, Palo Alto, 1983.

Michalski, R.S. : "Learning Flexible Concepts : Fundamental Ideas and a Method Based on Two-Tiered Representation", Machine Learning (vol III), R.Michalski, Y. Kodratoff (eds), Morgan Kaufmann Publ.Inc., 1990.

Michalski, R.S., and Larson, J.B. : "Selection of most representative training examples and incremental generation of VL1 hypotheses: The underlying methodology and description of programs ESEL and AQ11", Report 867, University of Illinois, 1978.

Mitchell, T. M. : "Version Spaces : A Candidate Elimination Approach to Rule Learning", in Proceedings of the 5th International Joint Conference on AI, Cambrige, Massachussets, 1977.

Quinlan, J.R. : "Learning efficient classification procedures and their application to chess end games", in Machine Learning - an Artifficial Intelligence Approach , Michalski et. all (Eds), Tioga Publishing, Palo Alto, 1983.

Quinlan, J.R. : "Induction of Decision Trees", Machine Learning (3) pag.81-106, Kluwer Academic Publishers, 1986.

Schlimmer, J. C., and Fisher, D. : " A case study of Incremental Concept Induction", in Proceedings of the Fifth National Conference on Artificial Intelligence , Morgan Kaufmann, 1986.

Sian, S. : "Extending Learning to Multiple Agents : Issues and a Model for Multi-Agent Machine Learning(MA-ML)", in Proceedings of EWSL-91, Porto, Portugal, 1991.

Torgo, L. : "Incremental Learning using IL1", working paper, LIACC, University of Porto, 1991.

Torgo, L. (1991b): "Knowledge Integration as a Learning Methodology", working paper, LIACC, University of Porto, 1991.


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