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Learning by Failing to Explain: Using Partial Explanations to Learn in Incomplete or Intractable Domains

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Formal Representation for Plans in the Programmer’s Apprentice
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LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
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Explanation-Based Learning: An Alternative View
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Explanation-based generalization: A unifying view
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LEARNING FROM OBSERVATION: CONCEPTUAL CLUSTERING
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An Experimental Program Transformation and Synthesis System
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Acquiring Effective Search Control Rules: Explanation-Based Learning in the PRODIGY System
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Explanation-Based Generalization: A Unifying View
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Induction of Augmented Transition Networks*
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The Acquisition of Syntactic Knowledge
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Explanation-Based Generalization: A Unifying View
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A Knowledge Based Approach to VLSI CAD the Redesign System
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An Algorithm for Parsing Flow Graphs
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A theory of syntactic recognition for natural language . By Mitchell P. Marcus. Cambridge, MA: MIT Press, 1980. Pp. 335. $25.00.
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Language Acquisition and Machine Learning
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A Knowledge Based Approach to VLSI CAD the Redesign System
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The Acquisition of Syntactic Knowledge
inferredcites →https://doi.org/10.7916/d8c254fhopenalex-snapshot
Generalizing Logic Circuit Designs by Analyzing Proofs of Correctness

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Panel Summary Perceptual Learning and Discovering
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An Integrative Model of Learning by Being Told, from Examples and by Exploration
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Extending Domain Theories: Two Case Studies in Student Modeling
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Explanation-Based Learning: A survey
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Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem
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Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning
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Quantifying Prior Determination Knowledge Using the PAC Learning Model
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ESBL: An integrated method for learning from partial information
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An apprentice-based approach to knowledge acquisition
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Grammatically biased learning: Learning logic programs using an explicit antecedent description language
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Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-world problem-solving task
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BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH 1985–1989
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References
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Integration of Analogical Search Control and Explanation-Based Learning of Correctness
inferred← citeshttps://doi.org/10.1016/b978-1-55860-036-2.50007-2openalex-snapshot
A Tight Integration of Deductive and Inductive Learning*
inferred← citeshttps://doi.org/10.1016/b978-1-55860-036-2.50010-2openalex-snapshot
COMBINING CASE-BASED REASONING, EXPLANATION-BASED LEARNING, AND LEARNING FROM INSTRUCTION
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Beyond Inversion of Resolution
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Explanation-Based Learning with Incomplete Theories: A Three-step Approach
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Learning Physics Via Explanation-based Learning of Correctness and Analogical Search Control
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Revising Relational Domain Theories
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Augmenting and Efficiently Utilizing Domain Theory in Explanation-Based Natural Language Acquisition
inferred← citeshttps://doi.org/10.1016/b978-1-55860-335-6.50019-2openalex-snapshot
Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains
inferred← citeshttps://doi.org/10.1080/08839519408945455openalex-snapshot
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Recognizing a program's design: a graph-parsing approach
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A method to integrate top down and bottom up induction for augmentation of incomplete theories
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Learning techniques for query optimization in federated database systems
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Learning to extract information from text based on user-provided examples
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Explanation-based learning: a survey of programs and perspectives
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A Model of the Self-Explanation Effect
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Learning to Troubleshoot: Multistrategy Learning of Diagnostic Knowledge for a Real‐World Problem‐Solving Task
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Flexibly Instructable Agents
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Explanation-Based Learning of Correctness: Towards a Model of the Self-Explanation Effect
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Explaining Scenarios for Information Personalization
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