Experience selection and problem choice in an exploratory learning system

Author:

Scott Paul D.,Markovitch Shaul

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference22 articles.

1. Aha, D.W., Kibler, D., & Albert, M.K. (1991). Instance-based learning algorithms.Machine Learning, 6, 37?66.

2. Carbonell, J.G., & Gil, Y. (1987). Learning by experimentation. InProceedings of the Fourth International Workshop on Machine Learning, Irvine, California (pp. 256?265), San Mateo, CA: Morgan Kaufmann.

3. Langley, P. (1987). A general theory of discrimination learning. In D. Klahr, P. Langley, & R. Neches (Eds.),Production system models of learning and development, pp. 99?161. Cambridge, MA: MIT Press.

4. Langley, P., Simon, H.A., Bradshaw, G.L., & ?ytkow, J.M. (1987).Scientific discovery: Computational explorations of the creative process. Cambridge, MA: MIT Press.

5. Langley, P., & ?ytkow, J.M. (1989). Data-driven approaches to empirical discovery.Artificial Intelligence, 40(1?3).

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