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Learning causal patterns: Making a transition from data-driven to theory-driven learning

https://doi.org/10.1007/bf00993076
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4613-1523-0openalex-snapshot
Change of Representation and Inductive Bias
inferredcites →https://doi.org/10.1007/978-1-4613-1523-0_16openalex-snapshot
Declarative Bias: An Overview
inferredcites →https://doi.org/10.1007/978-1-4613-2279-5_11openalex-snapshot
A Brief Overview of Explanatory Schema Acquisition
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114264openalex-snapshot
Experiments with Incremental Concept Formation: UNIMEM
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bf00993254openalex-snapshot
The Utility of Knowledge in Inductive Learning
inferredcites →https://doi.org/10.1007/bf00993505openalex-snapshot
Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ: Lawrence Erlbaum, 1990
inferredcites →https://doi.org/10.1016/0004-3702(78)90010-3openalex-snapshot
Dendral and meta-dendral: Their applications dimension
inferredcites →https://doi.org/10.1016/0022-0965(75)90123-xopenalex-snapshot
Defining the locus of developmental differences in children's causal reasoning
inferredcites →https://doi.org/10.1016/0022-2496(87)90031-9openalex-snapshot
Machine learning: An artificial intelligence approach (vol. 2)
inferredcites →https://doi.org/10.1016/0364-0213(90)90003-fopenalex-snapshot
Nonmonotonic Reasoning and Causation
inferredcites →https://doi.org/10.1016/0364-0213(91)80003-nopenalex-snapshot
A Computational Theory of Learning Causal Relationships
inferredcites →https://doi.org/10.1016/b978-0-12-737550-2.50010-5openalex-snapshot
KNOWLEDGE ACQUISITION IN RULE-BASED SYSTEMS—KNOWLEDGE ABOUT REPRESENTATIONS AS A BASIS FOR SYSTEM CONSTRUCTION AND MAINTENANCE11This work was supported in part by the Bureau of Health Sciences Research and Evaluation of HEW under Grant HS-01544 and by the Advanced Research Projects Agency under…
inferredcites →https://doi.org/10.1016/b978-0-12-737550-2.50019-1openalex-snapshot
MODEL-DIRECTED LEARNING OF PRODUCTION RULES11This work was supported by the Advanced Research Projects Agency under contract DAHC 15-73-C-0435, and by the National Institutes of Health under grant RR 00612–07.
inferredcites →https://doi.org/10.1016/b978-0-86576-091-2.50009-5openalex-snapshot
Learning and Inductive Inference
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50019-4openalex-snapshot
SCRIPTS, PLANS, GOALS, AND UNDERSTANDING
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50005-9openalex-snapshot
INDUCTION OVER THE UNEXPLAINED: Integrated Learning of Concepts with Both Explainable and Conventional Aspects
inferredcites →https://doi.org/10.1016/c2013-0-11671-6openalex-snapshot
Pattern-Directed Inference Systems
inferredcites →https://doi.org/10.1016/s0010-0277(87)80006-9openalex-snapshot
Do six-month-old infants perceive causality?
inferredcites →https://doi.org/10.1023/a:1022652016863openalex-snapshot
A Study of Explanation-Based Methods for Inductive Learning
inferredcites →https://doi.org/10.1109/tpami.1981.4767178openalex-snapshot
Pattern-Directed Inference Systems
inferredcites →https://doi.org/10.1111/j.1467-8624.1986.tb00015.xopenalex-snapshot
Selection of Causal Rules
inferredcites →https://doi.org/10.1145/1045343.1045359openalex-snapshot
Knowledge acquisition in rule-based systems
inferredcites →https://doi.org/10.1145/1045343.1045371openalex-snapshot
Model-directed learning of production rules
inferredcites →https://doi.org/10.13021/mars/3396openalex-snapshot
Learning to Predict Sequences
inferredcites →https://doi.org/10.2307/1415393openalex-snapshot
The Child's Conception of Physical Causality
inferredcites →https://doi.org/10.2307/414141openalex-snapshot
Inside computer understanding : Five programs plus miniatures. Ed. by Roger C. Schank and Christopher K. Riesbeck. Hillsdale, NJ: Erlbaum, 1981. Pp. xii, 386. $29.95.
inferredcites →https://doi.org/10.4324/9780203763049openalex-snapshot
Creating A Memory of Causal Relationships
inferredcites →https://doi.org/10.4324/9780203781036openalex-snapshot
Scripts, Plans, Goals, and Understanding

What points at this work

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

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Local Predictions for Case-Based Plan Recognition
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Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding
inferred← citeshttps://doi.org/10.1007/bf00993077openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0004-3702(99)00047-8openalex-snapshot
Introspective multistrategy learning: On the construction of learning strategies
inferred← citeshttps://doi.org/10.1016/s0950-7051(96)01049-0openalex-snapshot
Making AI systems more creative: the IPC-model
inferred← citeshttps://doi.org/10.1023/a:1007690108308openalex-snapshot
Multistrategy Discovery and Detection of Novice Programmer Errors
inferred← citeshttps://doi.org/10.1023/a:1008225015395openalex-snapshot
Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering
inferred← citeshttps://doi.org/10.1080/08839519408945431openalex-snapshot
CAN MACHINE LEARNING SOLVE MY PROBLEM?
inferred← citeshttps://doi.org/10.1109/gcce.2014.7031152openalex-snapshot
Patterns - The key to game amusement studies
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Analysis and design of server informative WWW-sites
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