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The Problem of Expensive Chunks and its Solution by Restricting Expressiveness

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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/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
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/10.1016/0004-3702(82)90020-0openalex-snapshot
Rete: A fast algorithm for the many pattern/many object pattern match problem
inferredcites →https://doi.org/10.1016/0004-3702(85)90028-1openalex-snapshot
Ordering conjunctive queries
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(88)90013-6openalex-snapshot
Defining operationality for explanation-based learning
inferredcites →https://doi.org/10.1016/0004-3702(89)90047-7openalex-snapshot
Explanation-based learning:A problem solving perspective
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/10.1016/0096-0551(86)90018-4openalex-snapshot
Programming expert systems in OPS5
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50034-9openalex-snapshot
Varieties of Learning in Soar: 1987
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50032-3openalex-snapshot
Generalizing Number and Learning from Multiple Examples in Explanation Based Learning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50051-7openalex-snapshot
Some Chunks Are Expensive
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50052-9openalex-snapshot
The Role of Forgetting in Learning
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/b978-1-55860-036-2.50102-8openalex-snapshot
INFORMATION FILTERS AND THEIR IMPLEMENTATION IN THE SYLLOG SYSTEM
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/tpami.1985.4767703openalex-snapshot
R1-Soar: An Experiment in Knowledge-Intensive Programming in a Problem-Solving Architecture
inferredcites →https://doi.org/10.1145/62115.62130openalex-snapshot
Soar/PSM-E: investigating match parallelism in a learning production sytsem
inferredcites →https://doi.org/10.1184/r1/6607196openalex-snapshot
Mechanisms of skill acquisition and the law of practice
inferredcites →https://doi.org/10.1184/r1/6607424openalex-snapshot
Modeling human syllogistic reasoning in Soar
inferredcites →https://doi.org/10.21236/ada204680openalex-snapshot
Varieties of Learning in Soar: 1987
inferredcites →https://doi.org/10.21236/ada205407openalex-snapshot
Soar: An Architecture for General Intelligence
inferredcites →https://doi.org/10.21236/ada207321openalex-snapshot
Suitability of Message Passing Computers for Implementing Production Systems
inferredcites →https://doi.org/10.21236/ada222909openalex-snapshot
Symbolic Architectures for Cognition
inferredcites →https://doi.org/10.2307/1422886openalex-snapshot
Unified Theories of Cognition
inferredcites →https://doi.org/10.4324/9780203728178openalex-snapshot
Cognitive Skills and Their Acquisition
inferredcites →https://doi.org/10.4324/9781315807843-20openalex-snapshot
Theo: A Framework for Self-Improving Systems
inferredcites →https://doi.org/10.5860/choice.28-5376openalex-snapshot
Unified theories of cognition
inferredcites →https://doi.org/10.7551/mitpress/3072.001.0001openalex-snapshot
The Foundations of Cognitive Science
inferredcites →https://doi.org/10.7551/mitpress/3072.003.0005openalex-snapshot
Symbolic Architectures for Cognition
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.

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A comparative utility analysis of case-based reasoning and control-rule learning systems
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The Utility Problem for Lazy Learners - Towards a Non-eager Approach
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Means-Ends Planning: An Example Soar System
inferred← citeshttps://doi.org/10.1007/978-94-011-2426-3_8openalex-snapshot
Knowledge Level and Inductive Uses of Chunking (EBL)
inferred← citeshttps://doi.org/10.1007/978-94-011-2426-3_9openalex-snapshot
Basic References for Soar
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Exemplar-based knowledge acquisition
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A high-performance explanation-based learning algorithm
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Bias in Planning and Explanation-Based Learning
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A Unified Framework for Planning and Learning
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An Asymptotic Analysis of Speedup Learning
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Constraining Learning with Search Control
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Explanation-Based Learning and Reinforcement Learning: A Unified View
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Long-term symbolic learning
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Effective and efficient forgetting of learned knowledge in Soar’s working and procedural memories
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A system simulating representation change phenomena while problem solving
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Memory as a Computational Resource
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Bounding the cost of learned rules
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inferred← citeshttps://doi.org/10.1016/s0377-2217(97)00293-2openalex-snapshot
Proposals for chunking and tabu search
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Cognitive Modeling Paradigms
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Constraints in Cognitive Architectures
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Explanation-Based Learning and Reinforcement Learning: A Unified View
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Book Review: Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989
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Hierarchical case-based reasoning integrating case-based and decompositional problem-solving techniques for plant-control software design
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Limitations of the unique-attribute representation for a learning system
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Constraint satisfaction for production system match
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An analysis of soar as an integrated architecture
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A neuroidal architecture for cognitive computation
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The Match Cost of Adding a New Rule: A Clash of Views
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Expert-System Development in Soar: A Tutorial
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Combining Left and Right Unlinking for Matching a Large Number of Learned Rules
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Long-Term Symbolic Learning in Soar and ACT-R
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Learning as Goal-Driven Inference
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