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Interactive concept-learning and constructive induction by analogy

https://doi.org/10.1007/bf00992861
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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-51734-0_67openalex-snapshot
Analogical reasoning for second generation expert systems
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Machine Learning of Inductive Bias
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Machine Learning
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THE ROLE OF HEURISTICS IN LEARNING BY DISCOVERY: THREE CASE STUDIES
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Explanation-Based Learning: An Alternative View
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Machine Learning as an Experimental Science
inferredcites →https://doi.org/10.1007/bf03037409openalex-snapshot
Logic program forms
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Acquiring object-knowledge for learning systems
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Sloppy modeling
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The acquisition of model-knowledge for a model-driven machine learning approach
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Demand-driven concept formation
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
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am: A case study in AI methodology
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Discovering patterns in sequences of events
inferredcites →https://doi.org/10.1016/0004-3702(88)90001-xopenalex-snapshot
Generalized subsumption and its applications to induction and redundancy
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50011-8openalex-snapshot
MORE ROBUST CONCEPT LEARNING USING DYNAMICALLY – VARIABLE BIAS
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50006-2openalex-snapshot
ON ASKING THE RIGHT QUESTIONS
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50040-2openalex-snapshot
Machine Invention of First-order Predicates by Inverting Resolution
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50117-xopenalex-snapshot
COMPARING SYSTEMS AND ANALYZING FUNCTIONS TO IMPROVE CONSTRUCTIVE INDUCTION
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50122-3openalex-snapshot
CONSTRUCTIVE INDUCTION BY ANALOGY
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50081-7openalex-snapshot
Integrity Constraints and Interactive Concept-Learning
inferredcites →https://doi.org/10.1016/s0020-7373(87)80084-6openalex-snapshot
Induction of Horn clauses: methods and the plausible generalization algorithm
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An Overview of the KL‐ONE Knowledge Representation System*
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Indirect relevance and bias in inductive concept-learning
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Toward Intelligent Machine Learning Algorithms
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Algorithmic Program Debugging
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Quantitative Results Concerning the Utility of Explanation-Based Learning

What points at this work

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

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Theory Completion Using Inverse Entailment
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Distributed Decision Making in Checkers
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Generalized Graph Colorability and Compressibility of Boolean Formulae
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Background knowledge and declarative bias in inductive concept learning
inferred← citeshttps://doi.org/10.1007/3-540-56602-3_125openalex-snapshot
Inductive logic programming: Derivations, successes and shortcomings
inferred← citeshttps://doi.org/10.1007/3-540-57868-4_64openalex-snapshot
On the utility of predicate invention in inductive logic programming
inferred← citeshttps://doi.org/10.1007/3-540-58520-6_62openalex-snapshot
Constructive induction for recursive programs
inferred← citeshttps://doi.org/10.1007/3-540-59286-5_61openalex-snapshot
Analogical logic program synthesis from examples
inferred← citeshttps://doi.org/10.1007/3-540-60454-5_45openalex-snapshot
Analogical logic program synthesis algorithm that can refute inappropriate similarities
inferred← citeshttps://doi.org/10.1007/3540635149_53openalex-snapshot
Learning Horn definitions with equivalence and membership queries
inferred← citeshttps://doi.org/10.1007/3540635149_54openalex-snapshot
Using abstraction schemata in inductive logic programming
inferred← citeshttps://doi.org/10.1007/978-3-030-19570-0_17openalex-snapshot
SLD-Resolution Reduction of Second-Order Horn Fragments
inferred← citeshttps://doi.org/10.1007/978-3-031-55630-2_10openalex-snapshot
Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment
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Improving Rule Evaluation Using Multitask Learning
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Collaborative vs. Conflicting Learning, Evolution and Argumentation
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ADFs: An Evolutionary Approach to Predicate Invention
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The Appropriateness of Predicate Invention as Bias Shift Operation in ILP
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Declarative Bias for Specific-to-General ILP Systems
inferred← citeshttps://doi.org/10.1007/bf01007461openalex-snapshot
Automated Refinement of First-Order Horn-Clause Domain Theories
inferred← citeshttps://doi.org/10.1007/bf03037583openalex-snapshot
Learning Horn definitions: Theory and an application to planning
inferred← citeshttps://doi.org/10.1007/s10994-019-05834-xopenalex-snapshot
Logical reduction of metarules
inferred← citeshttps://doi.org/10.1007/s10994-019-05862-7openalex-snapshot
Learning higher-order logic programs
inferred← citeshttps://doi.org/10.1007/s10994-020-05934-zopenalex-snapshot
Learning programs by learning from failures
inferred← citeshttps://doi.org/10.1007/s10994-023-06358-1openalex-snapshot
Learning logic programs by explaining their failures
inferred← citeshttps://doi.org/10.1016/0743-1066(94)90035-3openalex-snapshot
Inductive Logic Programming: Theory and methods
inferred← citeshttps://doi.org/10.1016/b978-1-55860-307-3.50018-6openalex-snapshot
Concept Sharing: A Means to Improve Multi-Concept Learning
inferred← citeshttps://doi.org/10.1017/s0269888900006366openalex-snapshot
A unifying framework for concept-learning algorithms
inferred← citeshttps://doi.org/10.1023/a:1007681906490openalex-snapshot
Strategies in Combined Learning via Logic Programs
inferred← citeshttps://doi.org/10.1109/ijcnn.1998.687152openalex-snapshot
Constructing high order perceptrons with genetic algorithms
inferred← citeshttps://doi.org/10.1613/jair.1.13507openalex-snapshot
Inductive Logic Programming At 30: A New Introduction
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Pac-Learning Recursive Logic Programs: Efficient Algorithms
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Computational/algorithmic thinking in school mathematics
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