
Analogical and Inductive Inference
International Workshop AII '89 Reinhardsbrunn Castle, GDR, October 1-6, 1989, Proceedings
Klaus P. Jantke(Editor)
Springer (Publisher)
Published on 20. September 1989
Book
Paperback/Softback
IX, 338 pages
978-3-540-51734-4 (ISBN)
Description
Inductive inference from good examples.- Inductive inference, DFAs, and computational complexity.- Why and how program synthesis?.- Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning.- Towards representation independence in PAC learning.- Learning context-free languages efficiently.- Learning programs with an easy to calculate set of errors.- Inductive inference up to immune sets.- Refined query inference.- Learning ?-regular languages from queries and counter-examples (a preliminary report).- A refutation of Barzdins' conjecture.- Generalizing multiple examples in explanation based learning.- Nested hyper-rectangles for exemplar-based learning.- Second-order inductive learning.- Modes of analogy.- Some aspects of analogy in mathematical reasoning.- A sketch of analogy as reasoning with equality hypotheses.- Analogical inference as generalised inductive inference.- Analogical reasoning for second generation expert systems.- Probabilistic inductive inference of indices in enumerable classes of total recursive functions.- Inductive inference for solving divergence in Knuth-Bendix completion.- Towards a set of inference rules for solving divergence in Knuth-Bendix completion.- Inductive synthesis of programs for symbolic sequences processing.- Inductive synthesis of encoding for algebraic abstract data types.
More details
Series
Edition
1989 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
IX, 338 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
534 gr
ISBN-13
978-3-540-51734-4 (9783540517344)
DOI
10.1007/3-540-51734-0
Schweitzer Classification
Content
Inductive inference from good examples.- Inductive inference, DFAs, and computational complexity.- Why and how program synthesis?.- Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning.- Towards representation independence in PAC learning.- Learning context-free languages efficiently.- Learning programs with an easy to calculate set of errors.- Inductive inference up to immune sets.- Refined query inference.- Learning ?-regular languages from queries and counter-examples (a preliminary report).- A refutation of Barzdins' conjecture.- Generalizing multiple examples in explanation based learning.- Nested hyper-rectangles for exemplar-based learning.- Second-order inductive learning.- Modes of analogy.- Some aspects of analogy in mathematical reasoning.- A sketch of analogy as reasoning with equality hypotheses.- Analogical inference as generalised inductive inference.- Analogical reasoning for second generation expert systems.- Probabilistic inductive inference of indices in enumerable classes of total recursive functions.- Inductive inference for solving divergence in Knuth-Bendix completion.- Towards a set of inference rules for solving divergence in Knuth-Bendix completion.- Inductive synthesis of programs for symbolic sequences processing.- Inductive synthesis of encoding for algebraic abstract data types.