Ronald de Haan vertelt over zichzelf YouTube


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Parameterized Complexity in the Polynomial Hierarchy was co-recipient of the E.W. Beth Dissertation Prize 2017 for outstanding dissertations in the fields of logic, language, and information. This work extends the theory of parameterized complexity to higher levels of the Polynomial Hierarchy (PH). For problems at higher levels of the PH, a promising solving approach is to develop fixed.


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All instances of MONOTONE 3-SAT- (3,1) are satisfiable. Hannah Van Santvliet, Ronald de Haan. The satisfiability problem is NP-complete but there are subclasses where all the instances are satisfiable. For this, restrictions on the shape of the formula are made. Darman and Döcker show that the subclass MONOTONE 3 -SAT- ( k ,1) with k ≥ 5.


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On the Computational Complexity of Model Checking for Dynamic Epistemic Logic with S5 Models. Dynamic epistemic logic (DEL) is a logical framework for representing an. 0 Ronald de Haan, et al. ∙. share.


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Ronald de Haan: Parameterized Complexity in the Polynomial Hierarchy - Extending Parameterized Complexity Theory to Higher Levels of the Hierarchy. TU Wien, Vienna, Austria, Lecture Notes in Computer Science 11880, Springer 2019, ISBN 978-3-662-60669-8, pp. 1-353.


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Ronald de Haan. Computer Science. KR. 2018; TLDR. This work investigates the languages of Krom formulas, (definite) Horn formulas, and Boolean circuits in decomposable negation normal form (DNNF) to strike a balance between being limited enough to yield computational tractability results and being expressive enough to model relevant applications.


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Ronald de Haan is a postdoctoral researcher at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. His research interests include the application of methods from theoretical computer science —in particular methods from (parameterized) complexity theory —to problems in computational logic , artificial.


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Cognition and Intractability is the first book to provide an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science. Intractability is a growing concern across the cognitive sciences: while many models of cognition can describe and predict human behavior in the lab, it remains unclear how these models can scale to.


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R. de Haan. Faculty of Science. ILLC. Science Park 900. Room number: L6.34.


Ronald de Haan vertelt over zichzelf YouTube

Ronald de Haan · Iris van de Pol Abstract Dynamic epistemic logic (DEL) is a logical frameworkfor represent-ing and reasoning about knowledge change for multiple agents. An important computational task in this framework is the model checking problem, which has been shown to be PSPACE-hard even for S5 models and two agents—


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Ronald de Haan , Expressing Linear Orders Requires Exponential-Size DNNFs. Technical Report, arXiv:1807.06397, 2018. Ronald de Haan , Hunting for Tractable Languages for Judgment Aggregation. In: Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), 2018.


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Ronald de Haan's 70 research works with 244 citations and 1,635 reads, including: A Belief Model for Conflicting and Uncertain Evidence -- Connecting Dempster-Shafer Theory and the Topology of.


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Ronald de Haan. Publications 21. h-index 4. Citations 38. Highly Influential Citations 1. Follow Author. Claim Author Page. Author pages are created from data sourced from our academic publisher partnerships and public sources. Publications. 21. Citing Authors. 136. Referenced Authors. 654. Co-Authors. 17. Co-Author. Has PDF.


Ronald de Haan

Semantic Scholar profile for Ronald de Haan, with 23 highly influential citations and 80 scientific research papers.


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Dr Ronald de Haan. Click on picture for enlargement Mailing Address. FNWI ILLC Universiteit van Amsterdam ILLC - P.O. Box 94242 1090 GE Amsterdam Visiting Address. Room L6.34 LAB42 Science Park 900 1012 WX Amsterdam. Primary affiliation. Theoretical Computer Science (TCS) Secondary affiliation. Mathematical & Computational Logic (MCL)