On the public citation graph

Experience Selection and Problem Choice in an Exploratory Learning System

https://doi.org/10.1007/bf00993060
0 signed · 37 inferred · view as graph

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.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb00917.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1007/bf00993503openalex-snapshot
Information filtering: Selection mechanisms in learning systems
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
inferredcites →https://doi.org/10.1016/0004-3702(89)90045-3openalex-snapshot
Introduction:Paradigms for machine learning
inferredcites →https://doi.org/10.1016/0004-3702(89)90051-9openalex-snapshot
Data-driven approaches to empirical discovery
inferredcites →https://doi.org/10.1016/0022-2496(87)90031-9openalex-snapshot
Machine learning: An artificial intelligence approach (vol. 2)
inferredcites →https://doi.org/10.1016/0031-3203(76)90020-0openalex-snapshot
The psychology of computer vision
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50029-5openalex-snapshot
Learning by Experimentation
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50032-5openalex-snapshot
Combining many searches in the FAHRENHEIT discovery system
inferredcites →https://doi.org/10.1016/b978-1-4832-0773-5.50020-1openalex-snapshot
Representation Generation in an Exploratory Learning System
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50036-9openalex-snapshot
WHAT GOOD ARE EXPERIMENTS?
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50078-3openalex-snapshot
EXEMPLAR-BASED THEORY REJECTION: AN APPROACH TO THE EXPERIENCE CONSISTENCY PROBLEM
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50091-6openalex-snapshot
UNCERTAINTY BASED SELECTION OF LEARNING EXPERIENCES
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/10.1016/s0020-7373(88)80004-xopenalex-snapshot
A formal analysis of machine learning systems for knowledge acquisition
inferredcites →https://doi.org/10.1023/a:1022614725002openalex-snapshot
Information Filtering: Selection Mechanisms in Learning Systems
inferredcites →https://doi.org/10.21236/ada201850openalex-snapshot
Data-Driven Approaches to Empirical Discovery
inferredcites →https://doi.org/10.2307/1421602openalex-snapshot
Knowledge and Cognition
inferredcites →https://doi.org/10.4324/9780203781579openalex-snapshot
Knowledge and Cognition
inferredcites →https://doi.org/10.7551/mitpress/5605.001.0001openalex-snapshot
Production System Models of Learning and Development
inferredcites →https://doi.org/10.7551/mitpress/5605.003.0005openalex-snapshot
A General Theory of Discrimination Learning
inferredcites →https://doi.org/10.7551/mitpress/5782.003.0013openalex-snapshot
Scientific Discovery

What points at this work

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

inferred← citeshttps://doi.org/10.1007/3-540-46846-3_1openalex-snapshot
The Melting Pot of Automated Discovery: Principles for a New Science
inferred← citeshttps://doi.org/10.1007/978-1-4471-3238-7_14openalex-snapshot
Automated Discovery of Empirical Laws in a Science Laboratory
inferred← citeshttps://doi.org/10.1007/978-3-030-01370-7_69openalex-snapshot
Inferring Capabilities by Experimentation
inferred← citeshttps://doi.org/10.1007/bf00124613openalex-snapshot
Creating a discoverer: Autonomous knowledge seeking agent
inferred← citeshttps://doi.org/10.1007/s10994-006-6225-2openalex-snapshot
Learning to bid in bridge
inferred← citeshttps://doi.org/10.1016/0020-0255(91)90079-aopenalex-snapshot
Automated scientific discovery
inferred← citeshttps://doi.org/10.1016/0957-4174(96)00018-8openalex-snapshot
Interactive induction of expert knowledge
inferred← citeshttps://doi.org/10.1037//0033-2909.125.5.524openalex-snapshot
Studies of scientific discovery: Complementary approaches and convergent findings.
inferred← citeshttps://doi.org/10.1109/mci.2013.2247826openalex-snapshot
Modeling Curiosity-Related Emotions for Virtual Peer Learners
inferred← citeshttps://doi.org/10.3233/fi-1996-272315openalex-snapshot
AUTOMATED DISCOVERY OF EMPIRICAL LAWS
inferred← citeshttps://doi.org/10.32657/10356/62194openalex-snapshot
Modeling curiosity for intelligent agents
inferred← citeshttps://doi.org/10.3390/philosophies4010008openalex-snapshot
AlphaGo, Locked Strategies, and Eco-Cognitive Openness
inferred← citeshttps://doi.org/10.48550/arxiv.1502.04780openalex-snapshot
Computational Curiosity (A Book Draft)
inferred← citeshttps://doi.org/10.48550/arxiv.1712.05497openalex-snapshot
What Can This Robot Do? Learning from Appearance and Experiments
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.