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researcher

Joost Vennekens

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LO1
  • cs.PL1
ORCID 0000-0002-0791-0176
same name
  • Joost Vennekens — 26 papers, h 21
  • Joost Vennekens — 4 papers, h 2
  • Joost Vennekens — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092014
most citedCHR(PRISM)-based Probabilistic Logic Learning

24 citations · 58 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LO2014★ 9 cited

FO(C): A Knowledge Representation Language of Causality

Bart Bogaerts, Joost Vennekens, Marc Denecker +1

Cause-effect relations are an important part of human knowledge. In real life, humans often reason about complex causes linked to complex effects. By comparison, existing formalism…

cs.AI2011★ 21 cited

Actual Causation in CP-logic

Joost Vennekens

Given a causal model of some domain and a particular story that has taken place in this domain, the problem of actual causation is deciding which of the possible causes for some ef…

cs.PL2010★ 24 cited

CHR(PRISM)-based Probabilistic Logic Learning

Jon Sneyers, Wannes Meert, Joost Vennekens +2

PRISM is an extension of Prolog with probabilistic predicates and built-in support for expectation-maximization learning. Constraint Handling Rules (CHR) is a high-level programmin…

cs.AI2009★ 4 cited

CP-logic: A Language of Causal Probabilistic Events and Its Relation to Logic Programming

Joost Vennekens, Marc Denecker, Maurice Bruynooghe

This papers develops a logical language for representing probabilistic causal laws. Our interest in such a language is twofold. First, it can be motivated as a fundamental study of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.