I am Joachim Jansen and this is my research summary, part of my application to the Doctoral Consortium at ICLP'14. I am a PhD student in the Knowledge Representation and Reasoning (KRR) research group, a subgroup of the Declarative Languages and Artificial Intelligence ... View more
ABO, I., DETERS, M., NIEUWENHUIS, R., AND STUCKEY, P. 2011. Reducing chaos in sat-like search: Finding solutions close to a given one. In Theory and Applications of Satisfiability Testing - SAT 2011. 273-286.
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BLOCKEEL, H., BRUYNOOGHE, M., BART, B., DE CAT, B., DE POOTER, S., DENECKER, M., LABARRE, A., RAMON, J., AND VERWER, S. 2013. Predicate logic as a modeling language: Modeling and solving some machine learning and data mining problems with idp3. CoRR abs/1309.6883.
CLIMENT, L., WALLACE, R. J., SALIDO, M. A., AND BARBER, F. 2014. Robustness and stability in constraint programming under dynamism and uncertainty. J. Artif. Intell. Res. (JAIR) 49, 49-78.
DE CAT, B., JANSEN, J., AND JANSSENS, G. 2013. IDP3: Combining symbolic and ground reasoning for model generation. In Workshop on Grounding and Transformations for Theories with Variables, La Corun˜a, 15 Sept 2013.
DE POOTER, S., WITTOCX, J., AND DENECKER, M. 2011. programming environment. CoRR abs/1108.5667.
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GEBSER, M., GROTE, T., KAMINSKI, R., AND SCHAUB, T. 2011. Reactive answer set programming. In Logic Programming and Nonmonotonic Reasoning. Lecture Notes in Computer Science, vol. 6645. 54-66.
GEBSER, M., KAMINSKI, R., KAUFMANN, B., AND SCHAUB, T. 2012. Answer Set Solving in Practice. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool Publishers.
IDP 2013. The IDP system. http://dtai.cs.kuleuven.be/krr/software.