Ute Schmid (auth.)3540401741, 9783540401742
Because of its promise to support human programmers in developing correct and efficient program code and in reasoning about programs, automatic program synthesis has attracted the attention of researchers and professionals since the 1970s.
This book focusses on inductive program synthesis, and especially on the induction of recursive functions; it is organized into three parts on planning, inductive program synthesis, and analogical problem solving and learning. Besides methodological issues in inductive program synthesis, emphasis is placed on its applications to control rule learning for planning. Furthermore, relations to problem solving and learning in cognitive psychology are discussed.
Table of contents :
Front Matter….Pages –
1. Introduction….Pages 1-10
Front Matter….Pages 11-11
2. State-Based Planning….Pages 13-54
3. Constructing Complete Sets of Optimal Plans….Pages 55-70
4. Integrating Function Application in State-Based Planning….Pages 71-91
5. Conclusions and Further Research….Pages 93-96
Front Matter….Pages 97-97
6. Automatic Programming….Pages 99-166
7. Folding of Finite Program Terms….Pages 167-225
8. Transforming Plans into Finite Programs….Pages 227-269
9. Conclusions and Further Research….Pages 271-275
Front Matter….Pages 277-277
10. Analogical Reasoning and Generalization….Pages 279-290
11. Structural Similarity in Analogical Transfer….Pages 291-310
12. Programming by Analogy….Pages 311-321
13. Conclusions and Further Research….Pages 323-325
Back Matter….Pages –
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