Request PDF on ResearchGate | Inverse entailment and Progol | This paper firstly provides a re-appraisal of the development of techniques for inverting. Progol is Stephen Muggleton’s implementation of inductive logic programming used in computer science that combines “Inverse Entailment” with. Progol is implemented in C and available by anonymous ftp. The re-assessment of previous techniques in terms of inverse entailment leads to new results for.

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Inverse entailment and progol

Retrieved from ” https: From Wikipedia, the free encyclopedia. This artificial intelligence -related article is a stub. Showing of 57 references. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Invreseand Dataset License.

From This Paper Figures, tables, and topics from this paper. This page was last edited on 24 Septemberat The Principles of Science: This paper has highly influenced other papers. Use dmy dates from September All stub articles.

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PROGOL – Wikipedia

Learning logical definitions from relations J. Ross Quinlan Machine Learning Views Read Edit View history. Progol is implemented in C and available by anonymous ftp. Topics Discussed in This Paper. You can help Wikipedia by expanding it. Peogol to search form Skip to main content. This clause is used to guide a refinement-graph prigol. Progol is Stephen Muggleton ‘s implementation of inductive logic programming used in computer science that combines “Inverse Entailment” with “general-to-specific search” through a refinement graph.

Artificial intelligence stubs Robotics stubs Inductive logic programming Logic programming languages.

CiteSeerX — Inverse entailment and Progol

Muggleton, editor, Inductive Logic Programming…. The ef- fect of background knowledge in inductive logic programming: Invrese robotics-related article is a stub. Languages Deutsch Edit links.

A learnability model for universal representa- tions. Extensions of inversion of resolution applied to theory com- pletion.

Ross Quinlan ‘s FOIL Progol’s search is efficient and has a provable guarantee of returning a solution having the maximum “compression” in the search-space. References Publications referenced by this paper. Progol deals with noisy data by using the “compression measure” to trade-off the description of errors against the hypothesis description length. Showing of extracted citations. Language identi cation in the limit. Probabilistic Theory Revision from Examples: Progol allows arbitrary Prolog programs as background knowledge and arbitrary definite clauses as examples.

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The mathematical theory of communication. By using this site, you agree to the Terms of Use and Privacy Policy. Citations Publications citing this paper.

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