The Role of Prior Causal Theories in Generalization

Keywords

occam, Generalization, Occam's razor, Causal structure, Computer science

References

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Cited by

• Integrating Explanation-Based and Empirical Learning Methods in OCCAMMichael J. Pazzani — 1988
• Induction in an Abstraction Space: A Form of Constructive InductionGeorge Drastal, Gábor Czakó, Stan Raatz — 1989
• Extraction and use of contextual attributes for theory completion: an integration of explanation-based and similarity-based learningAndrea Danyluk — 1992
• Indexing strategies for goal specific retrieval of casesMichael J. Pazzani — 1997
• A Survey of Machine Learning Systems Integrating Explanation-Based and Similarity-Based MethodsAndrea Danyluk — 1989
• Using Prior Learning to Facilitate the Learning of New Causal TheoriesMichael J. Pazzani, Michael Oyer, Margot Flowers — 1987
• Indexing, Elaboration and Refinement: Incremental Learning of Explanatory CasesAshwin Ram — 1993
• Explanation-Based Methods for Simplifying Intractable TheoriesThomas Ellman — 1987
• Learning Search Control for Constraint-Based SchedulingMegan Eskey, Monte Zweben — 1990
• Theory formation in artificial intelligenceL.-M. Fu — 1989
• A model of integrated learningKishore S. Swaminathan — 1989
• Can machine learning solve my problem?Yves Kodratoff, Vassilis Moustakis, Nicolas Graner — 1994
• Influence of prior knowledge on concept acquisition: Experimental and computational results.Michael J. Pazzani — 1991
• A model of the self-explanation effect.Kurt VanLehn, Randolph M. Jones, Michelene T.H. — 1992
• Rule-Learning Events in the Acquisition of a Complex Skill: An Evaluation of CascadeKurt VanLehn — 1999
• Learning to Improve Constraint-Based SchedulingMonte Zweben, Eugene Davis, Brian Daun — 1992
• Explanation-Based Learning: A Problem Solving PerspectiveSteven Minton, Jaime Carbonell, Craig A. Knoblock — 1989
• The interaction of domain-specific knowledge and domain-general discovery strategies: a study with sinking objects.David E. Penner, David Klahr — 1996
• Explanation-Based Learning for Knowledge-Based SystemsMichael J. Pazzani — 1987
• Learning by failing to explain: Using partial explanations to learn in incomplete or intractable domainsRobert J. Hall — 1988

Related papers

• Explanation-Based Learning: An Alternative ViewGerald DeJong, Raymond J. Mooney — 1986
• Explanation-Based Generalization: A Unifying ViewTom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli — 1986
• Integrated Learning: Controlling ExplanationMichael Lebowitz — 1986
• Induction of Decision TreesJ. R. Quinlan — 1986
• MACHINE LEARNING An Artificial Intelligence ApproachRyszard S. Michalski, Jaime G. Carbonell, Thomas M. Mitchell — 2009
• Learning one Subprocedure per LessonKurt VanLehn — 1987
• Learning at the Knowledge LevelThomas G. Dietterich — 1986
• Generalization as SearchTom M. Mitchell — 1982