On the public citation graph

Abductive concept learning

https://doi.org/10.1007/bf03037531
0 signed · 67 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/3-540-58495-1_34openalex-snapshot
RUTH: an ILP theory revision system
inferredcites →https://doi.org/10.1007/3-540-59286-5_53openalex-snapshot
Learning non-monotonic logic programs: Learning exceptions
inferredcites →https://doi.org/10.1007/3-540-60454-5_30openalex-snapshot
Inductive constraint logic
inferredcites →https://doi.org/10.1007/3-540-61286-6_162openalex-snapshot
Inductive database design
inferredcites →https://doi.org/10.1007/3-540-63494-0_55openalex-snapshot
Inductive logic program synthesis with DIALOGS
inferredcites →https://doi.org/10.1007/3-540-63494-0_60openalex-snapshot
Top-down induction of logic programs from incomplete samples
inferredcites →https://doi.org/10.1007/3540635149_47openalex-snapshot
Learning with abduction
inferredcites →https://doi.org/10.1007/978-3-642-83189-8openalex-snapshot
Foundations of Logic Programming
inferredcites →https://doi.org/10.1007/978-3-642-96826-6openalex-snapshot
Foundations of Logic Programming
inferredcites →https://doi.org/10.1007/978-3-662-04599-2_3openalex-snapshot
An Introduction to Inductive Logic Programming
inferredcites →https://doi.org/10.1007/978-94-017-0606-3_12openalex-snapshot
Integrating Abduction and Induction in Machine Learning
inferredcites →https://doi.org/10.1007/978-94-017-0606-3_14openalex-snapshot
Learning Abductive and Nonmonotonic Logic Programs
inferredcites →https://doi.org/10.1007/bf00116835openalex-snapshot
The CN2 Induction Algorithm
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bf00992863openalex-snapshot
Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem
inferredcites →https://doi.org/10.1007/bf01007461openalex-snapshot
Automated Refinement of First-Order Horn-Clause Domain Theories
inferredcites →https://doi.org/10.1007/bf03037089openalex-snapshot
Inductive logic programming
inferredcites →https://doi.org/10.1007/bf03037227openalex-snapshot
Inverse entailment and progol
inferredcites →https://doi.org/10.1007/bfb0017020openalex-snapshot
Learning nonrecursive definitions of relations with linus
inferredcites →https://doi.org/10.1007/bfb0017029openalex-snapshot
Abduction for explanation-based learning
inferredcites →https://doi.org/10.1007/bfb0027320openalex-snapshot
Repeat learning using predicate invention
inferredcites →https://doi.org/10.1016/0004-3702(92)90075-9openalex-snapshot
Belief updating from integrity constraints and queries
inferredcites →https://doi.org/10.1016/0004-3702(94)90112-0openalex-snapshot
First-order jk-clausal theories are PAC-learnable
inferredcites →https://doi.org/10.1016/0743-1066(94)90035-3openalex-snapshot
Inductive Logic Programming: Theory and methods
inferredcites →https://doi.org/10.1016/0743-1066(94)90043-4openalex-snapshot
Hypothetical reasoning in logic programs
inferredcites →https://doi.org/10.1016/b978-0-08-050058-4.50008-5openalex-snapshot
Unknown Attribute Values
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50048-5openalex-snapshot
UNKNOWN ATTRIBUTE VALUES IN INDUCTION
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50094-5openalex-snapshot
Constraints on Predicate Invention
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50049-0openalex-snapshot
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
inferredcites →https://doi.org/10.1016/s0020-0255(98)10092-0openalex-snapshot
Integrating induction and abduction in logic programming
inferredcites →https://doi.org/10.1093/logcom/2.6.719openalex-snapshot
Abductive Logic Programming
inferredcites →https://doi.org/10.1093/oso/9780198537922.003.0007openalex-snapshot
The Role of Abduction in Logic Programming
inferredcites →https://doi.org/10.1093/oso/9780198538233.003.0008openalex-snapshot
Non-monotonic Learning
inferredcites →https://doi.org/10.1111/j.1467-8640.1994.tb00167.xopenalex-snapshot
ABDUCTION and EXPLANATION‐BASED LEARNING: CASE STUDIES IN DIVERSE DOMAINS
inferredcites →https://doi.org/10.4230/oasics.iccsw.2012.15openalex-snapshot
Predicate Invention in Inductive Logic Programming
inferredcites →https://doi.org/10.5860/choice.45-6219openalex-snapshot
Probability and statistical inference
inferredcites →https://doi.org/10.7551/mitpress/4316.003.0050openalex-snapshot
On the Equivalence between Disjunctive and Abductive Logic Programs

What points at this work

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

inferred← citeshttps://doi.org/10.1007/3-540-36468-4_12openalex-snapshot
Using Theory Completion to Learn a Robot Navigation Control Program
inferred← citeshttps://doi.org/10.1007/3-540-45628-7_16openalex-snapshot
Abduction in Logic Programming
inferred← citeshttps://doi.org/10.1007/978-0-387-30164-8_1openalex-snapshot
Abduction
inferred← citeshttps://doi.org/10.1007/978-1-4899-7502-7_1-1openalex-snapshot
Abduction
inferred← citeshttps://doi.org/10.1007/978-1-4899-7687-1_1openalex-snapshot
Abduction
inferred← citeshttps://doi.org/10.1007/978-3-030-86772-0_2openalex-snapshot
Non-monotonic Explanation Functions
inferred← citeshttps://doi.org/10.1007/978-3-540-30109-7_12openalex-snapshot
Automatic Induction of First-Order Logic Descriptors Type Domains from Observations
inferred← citeshttps://doi.org/10.1007/978-3-540-30109-7_23openalex-snapshot
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction
inferred← citeshttps://doi.org/10.1007/978-3-540-39853-0_18openalex-snapshot
Abduction in Classification Tasks
inferred← citeshttps://doi.org/10.1007/978-3-642-03070-3_35openalex-snapshot
Concept Learning from (Very) Ambiguous Examples
inferred← citeshttps://doi.org/10.1007/978-3-642-05179-1_6openalex-snapshot
Towards Multistrategic Statistical Relational Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-31951-8_14openalex-snapshot
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models
inferred← citeshttps://doi.org/10.1007/978-90-481-9452-0_11openalex-snapshot
Inductive, Abductive and Probabilistic Reasoning
inferred← citeshttps://doi.org/10.1007/978-94-017-1733-5_1openalex-snapshot
On the Relation between Abduction and Inductive Learning
inferred← citeshttps://doi.org/10.1007/s10115-006-0019-5openalex-snapshot
Inference of abduction theories for handling incompleteness in first-order learning
inferred← citeshttps://doi.org/10.1007/s10994-006-8988-xopenalex-snapshot
Application of abductive ILP to learning metabolic network inhibition from temporal data
inferred← citeshttps://doi.org/10.1016/b978-0-12-420002-9.00004-4openalex-snapshot
Construction and Validation of Food Webs Using Logic-Based Machine Learning and Text Mining
inferred← citeshttps://doi.org/10.1016/j.ijar.2023.01.004openalex-snapshot
Explaining black-box classifiers: Properties and functions
inferred← citeshttps://doi.org/10.1016/j.jal.2008.10.007openalex-snapshot
Nonmonotonic abductive inductive learning
inferred← citeshttps://doi.org/10.1093/oso/9780198862536.003.0015openalex-snapshot
Human–Machine Scientific Discovery
inferred← citeshttps://doi.org/10.1109/ictai.2014.17openalex-snapshot
Learning First Order Rules from Ambiguous Examples
inferred← citeshttps://doi.org/10.1109/ictai52525.2021.00126openalex-snapshot
Explaining Black-box Classification Models with Arguments
inferred← citeshttps://doi.org/10.1177/0263276418818889openalex-snapshot
Critical Computation: Digital Automata and General Artificial Thinking
inferred← citeshttps://doi.org/10.1613/jair.4395openalex-snapshot
Learning Relational Event Models from Video
inferred← citeshttps://doi.org/10.24963/ijcai.2023/346openalex-snapshot
Leveraging Argumentation for Generating Robust Sample-based Explanations
inferred← citeshttps://doi.org/10.3390/designs3010001openalex-snapshot
A Computational Framework for Procedural Abduction Done by Smart Cyber-Physical Systems
inferred← citeshttps://doi.org/10.4230/lipics.iclp.2010.54openalex-snapshot
Inductive Logic Programming as Abductive Search
inferred← citeshttps://doi.org/10.48550/arxiv.2010.12896openalex-snapshot
Abduction and Argumentation for Explainable Machine Learning: A Position Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2103.12329openalex-snapshot
Contrastive Reasoning in Neural Networks
inferred← citeshttps://doi.org/10.70675/963acbcaz72d2z48f2za396z0cf62886238copenalex-snapshot
Analyzing and explaining data-driven Artificial Intelligence Models by argumentation
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.