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Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_4openalex-snapshot
A Theory and Methodology of Inductive Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_6openalex-snapshot
LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
inferredcites →https://doi.org/10.1007/bf00116250openalex-snapshot
Explanation-based generalization: A unifying view
inferredcites →https://doi.org/10.1016/0167-7136(83)90132-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50006-4openalex-snapshot
On Representations of Problems of Reasoning about Actions
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50022-2openalex-snapshot
Achieving Several Goals Simultaneously**The research reported herein was sponsored by the National Science Foundation under Grant GJ-36146.
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1145/360933.360975openalex-snapshot
Guarded commands, nondeterminacy and formal derivation of programs
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1147/rd.441.0206openalex-snapshot
Some studies in machine learning using the game of checkers
inferredcites →https://doi.org/10.2307/414206openalex-snapshot
Categories and concepts . By Edward E. Smith and Douglas L. Medin. (Cognitive science series, 4.) Cambridge: Harvard University Press, 1981. Pp. viii, 203. $15.00.
inferredcites →https://doi.org/10.4159/harvard.9780674866270openalex-snapshot
Categories and Concepts
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Knowledge Level Learning in a Problem Solver
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Grundlagen zum logistischen Handelscontrolling
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On the Comparison of AI and DAI Based Planning Techniques for Automated Manufacturing Systems
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Editorial: Human and machine learning
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Apprentissage: Science des explications ou science des nombres?
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Learning features by experimentation in chess
inferred← citeshttps://doi.org/10.1016/b978-0-08-051055-2.50009-2openalex-snapshot
PROTOS: AN EXEMPLAR-BASED LEARNING APPRENTICE11Based on a paper presented at the Second AAAI Workshop on Knowledge Acquisition for Knowledge-based Systems, Banff, October 1987. Reprinted with permission from Academic Press, Ltd. from Bareiss, et al., International Journal of Man-Machine Studies…
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BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH 1985–1989
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Protos: An Exemplar-Based Learning Apprentice11Support for this research was provided by the Army Research Office under grant number ARO DAAG29-84-K-0060 and the National Science Foundation under grant number IST-8510999.
inferred← citeshttps://doi.org/10.1016/b978-0-934613-41-5.50006-4openalex-snapshot
Learning Representative Exemplars of Concepts: An Initial Case Study
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Incremental Multiple Concept Learning Using Experiments
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Diffy-S: Learning Robot Operator Schemata from Examples
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Learning, Planning, and Scheduling: An Overview
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Learning Recurring Subplans
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LEARNING TO PLAN IN COMPLEX DOMAINS
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Issues in the Design of Operator Composition Systems
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Learning to Predict in Uncertain Continuous Tasks
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Learning Episodes for Optimization
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Discovering semantic and visual hints with machine learning of real design templates to support insight exploration in informatics
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Using genetic programming to learn and improve control knowledge
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Protos: an exemplar-based learning apprentice
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Queries for bias testing
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Editorial: Human and Machine Learning
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Active Sampling for Class Probability Estimation and Ranking
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A bibliography of heuristic search research through 1992
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Expert system technology for the military: selected samples
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An architecture for understanding human instructions, learning, and planning
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Explicitly biased generalization
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Learning domain knowledge for teaching procedural skills
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Explanation-based learning: a survey of programs and perspectives
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