Modeling Active, Hypothesis-Driven Learning From Worked-Out Examples

Author:

Reimann Peter

Publisher

Springer Berlin Heidelberg

Reference37 articles.

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4. Carbonell, J.G. (1986). Derivational analogy: A theory of reconstructive problem solving and expertise acquisition. In R.S. Michalski, J.G. Carbonell & T.M. Mitchell (Eds.), Machine Learning. An artificial intelligence approach Vol. 2 (pp. 371–392 ). Los Altos, CA: Kaufmann.

5. Carbonell, J., & Veloso, M. (1988). Integrating derivational analogy into a general problem solving architecture. In Proceedings of the Case-Based Reasoning Workshop (pp. 104–124 ).

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