Ronald de Haan Fysiotherapeut / Praktijkeigenaar Fysiotherapie / Sportrevalidatie Ronald de


Ronald de Haan

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


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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)


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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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Computational Complexity University of Amsterdam, February-March 2020. Lecturer: Ronald de Haan Teaching assistant: Boas Kluiving Course catalogue Datanose Canvas. Note: this is the course web page for 2020. For the most recent edition of the course, please visit the corresponding course page. News


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


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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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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: 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.


Ronald de Haan

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.


Academic staff Master Artificial Intelligence Universiteit van Amsterdam

From: Ronald de Haan Thu, 24 May 2018 20:11:34 UTC (42 KB) [v2] Fri, 18 Sep 2020 13:02:52 UTC (56 KB) Full-text links: Download: Download a PDF of the paper titled On the Computational Complexity of Model Checking for Dynamic Epistemic Logic with S5 Models, by Ronald de Haan and 1 other authors. PDF; PostScript; Other formats.


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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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Authors: Ronald de Haan, Stefan Szeider. Download PDF Abstract: Today's propositional satisfiability (SAT) solvers are extremely powerful and can be used as an efficient back-end for solving NP-complete problems. However, many fundamental problems in knowledge representation and reasoning are located at the second level of the Polynomial.


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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 · 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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