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On-Line Learning from Search Failures

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4613-1703-6openalex-snapshot
Learning Search Control Knowledge
inferredcites →https://doi.org/10.1007/978-3-662-09438-9openalex-snapshot
Principles of Artificial Intelligence
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_12openalex-snapshot
MACHINE TRANSFORMATION OF ADVICE INTO A HEURISTIC SEARCH PROCEDURE
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114163openalex-snapshot
A Critical Look at Experimental Evaluations of EBL
inferredcites →https://doi.org/10.1007/bf00116249openalex-snapshot
Chunking in Soar: The anatomy of a general learning mechanism
inferredcites →https://doi.org/10.1007/bf00116250openalex-snapshot
Explanation-based generalization: A unifying view
inferredcites →https://doi.org/10.1007/bf00116836openalex-snapshot
A Heuristic Approach to the Discovery of Macro-Operators
inferredcites →https://doi.org/10.1007/bf01000409openalex-snapshot
On-Line Learning from Search Failures
inferredcites →https://doi.org/10.1016/0004-3702(77)90029-7openalex-snapshot
Forward reasoning and dependency-directed backtracking in a system for computer-aided circuit analysis
inferredcites →https://doi.org/10.1016/0004-3702(87)90050-6openalex-snapshot
SOAR: An architecture for general intelligence
inferredcites →https://doi.org/10.1016/0004-3702(89)90048-9openalex-snapshot
Design by derivational analogy:Issues in the automated replay of design plans
inferredcites →https://doi.org/10.1016/0004-3702(90)90059-9openalex-snapshot
Quantitative results concerning the utility of explanation-based learning
inferredcites →https://doi.org/10.1016/0004-3702(93)90035-aopenalex-snapshot
A structural theory of explanation-based learning
inferredcites →https://doi.org/10.1016/0044-8486(92)90141-7openalex-snapshot
Synthetic astaxanthin deposition in pan-size coho salmon (Oncorhynchus kisutch)
inferredcites →https://doi.org/10.1016/0954-1810(87)90203-2openalex-snapshot
Toward an engineering science of knowledge-based design
inferredcites →https://doi.org/10.1016/0954-1810(89)90014-9openalex-snapshot
Automated reuse of design plans
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/b978-1-55860-036-2.50062-xopenalex-snapshot
Approximating Learned Search Control Knowledge
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50068-0openalex-snapshot
Discovering Admissible Search Heuristics by Abstracting and Optimizing
inferredcites →https://doi.org/10.1023/a:1022639103969openalex-snapshot
Chunking in Soar: The Anatomy of a General Learning Mechanism
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1109/caia.1988.196096openalex-snapshot
Learning preference rules for a VLSI design problem-solver
inferredcites →https://doi.org/10.1109/proc.1981.12145openalex-snapshot
Principles of artificial intelligence
inferredcites →https://doi.org/10.1609/aimag.v6i1.468openalex-snapshot
Toward Better Models of the Design Process
inferredcites →https://doi.org/10.21236/ada188742openalex-snapshot
SOAR: An Architecture for General Intelligence
inferredcites →https://doi.org/10.21236/ada205407openalex-snapshot
Soar: An Architecture for General Intelligence
inferredcites →https://doi.org/10.2307/2348323openalex-snapshot
Statistical Reasoning.
inferredcites →https://doi.org/10.7551/mitpress/3314.003.0008openalex-snapshot
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.

inferred← citeshttps://doi.org/10.1007/978-0-387-30164-8_297openalex-snapshot
Explanation-Based Learning for Planning
inferred← citeshttps://doi.org/10.1016/b978-1-55860-247-2.50009-7openalex-snapshot
Learning by Incomplete Explanations of Failures in Recursive Domains
inferred← citeshttps://doi.org/10.1016/j.artint.2016.12.002openalex-snapshot
State space search nogood learning: Online refinement of critical-path dead-end detectors in planning
inferred← citeshttps://doi.org/10.1016/s0004-3702(96)00005-7openalex-snapshot
Failure driven dynamic search control for partial order planners: an explanation based approach
inferred← citeshttps://doi.org/10.1016/s0004-3702(98)00087-3openalex-snapshot
On the relations between intelligent backtracking and failure-driven explanation-based learning in constraint satisfaction and planning
inferred← citeshttps://doi.org/10.1017/9781108755610.014openalex-snapshot
Computational Modeling of Basic Cognitive Functionalities
inferred← citeshttps://doi.org/10.1017/9781108755610.021openalex-snapshot
Computational Models of Skill Acquisition
inferred← citeshttps://doi.org/10.1017/cbo9780511816772.010openalex-snapshot
Computational Modeling of Various Cognitive Functionalities and Domains
inferred← citeshttps://doi.org/10.1017/cbo9780511816772.017openalex-snapshot
Computational Models of Skill Acquisition
inferred← citeshttps://doi.org/10.1023/a:1005885725562openalex-snapshot
Nagging: A Distributed, Adversarial Search-Pruning Technique Applied to First-Order Inference
inferred← citeshttps://doi.org/10.1609/aimag.v24i2.1705openalex-snapshot
Learning-assisted automated planning: looking back, taking stock, going forward
inferred← citeshttps://doi.org/10.20868/upm.thesis.1101openalex-snapshot
Programación genética de heurísticas para planificación
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