Analogical and Inductive Inference [electronic resource] : International Workshop All '89 Reinhardsbrunn Castle, GDR, October 1–6, 1989 Proceedings / edited by Klaus P. Jantke.

Contributor(s): Jantke, Klaus P [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence ; 397Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1989Description: IX, 338 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540467984Subject(s): Computer science | Logic design | Artificial intelligence | Logic, Symbolic and mathematical | Computer Science | Artificial Intelligence (incl. Robotics) | Programming Techniques | Logics and Meanings of Programs | Mathematical Logic and FoundationsAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Contents:
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.
In: Springer eBooks
Item type: E-BOOKS
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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.

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