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Nic Wilson
Science Foundation Ireland Principal Investigator Cork Constraint Computation Centre Department of Computer Science n.wilson "at" 4c.ucc.ie |
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Since January 1st 2009 Nic Wilson has been funded by Science Foundation Ireland as Principal Investigator on a project on reasoning with preferences in multi-variate problems; he is also collaborating with IBM on a project on reasoning about risk, and is involved in the SFI SRC project ITOBO on intelligent building operation. Nic Wilson has been a research scientist at Cork Constraint Computation Centre since October 2003. His interests include computational approaches for reasoning with preferences, soft constraints and uncertainty. From 2001-2003, he was a senior research fellow at Keele University UK, working primarily on formal approaches for representing and reasoning with uncertain geographic information. Before that he was a senior research fellow at Oxford Brookes University, UK, and a research fellow at Queen Mary and Westfield College, London. During this time he worked mainly on computation and foundations of numerical and logical uncertainty formalisms. He chaired workshops at ECAI in 2006 and 2008 on reasoning with graphical structures of knowledge. He has been on the programme committees of many AI and uncertainty conferences and workshops, such as AAAI, UAI, SUM, ISIPTA, was an area chair for ECAI 2010, and was on the senior programme committee of IJCAI-11.
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Publications Copies of my publications can be downloaded here Journal PublicationsWilson, N., 2011, Computational Techniques for a Simple Theory of Conditional Preferences. Artificial Intelligence, 175(7-8): 1053-1091 (2011).
Trabelsi, W., Wilson, N., Bridge, D., and Ricci, F., 2011, Preference Dominance Reasoning for Conversational Recommender Systems: A Comparison Between a Comparative Preferences and a Sum of Weights Approach. International Journal on Artificial Intelligence Tools (IJAIT), Volume: 20, Issue: 4(2011) 591-616.
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2010, Developing Approaches for Solving a Telecommunications Feature Subscription Problem, Journal of Artificial Intelligence Research 38 (2010) 271-305.
Wilson, N., Grimes, D., and Freuder, E.C., 2010 Interleaving Solving and Elicitation of Constraint Satisfaction Problems Based on Expected Cost. Constraints, vol 15, no. 4, 540-573.
Gelain, M., Pini, M. S., Rossi, F., Venable, K. B., and Wilson, N., 2010 Interval-valued Soft Constraint Problems Annals of Mathematics and Artificial Intelligence, 58:261–298.
Fargier, H., Rollon, E., and Wilson, N., 2010, Enabling Local Computation for Partially Ordered Preferences Constraints, vol 15, no. 4, 516-539.
Freuder, E., Heffernan, R., Wallace, R. J., and Wilson, N., 2010, Lexicographically-ordered Constraint Satisfaction Problems, Constraints journal, vol. 15(1): 1-28 (2010)
Wallace, R. J., and Wilson, N., 2009, Conditional Lexicographic Orders in Constraint Satisfaction Problems, Annals of Operations Research special issue entitled "Constraint Programming, Artificial Intelligence and Operations Research". Volume 171, Number 1 / October, 2009 Pages 3-25
Goldsmith, J., Lang, J., Truszczynski, M., and Wilson, N., 2008. The Computational Complexity of Dominance and Consistency in CP-nets, Journal of Artificial Intelligence Research 33 403-432.
Kohlas, J., and Wilson, N., 2008, Semiring Induced Valuation Algebras: Exact and Approximate Local Computation Algorithms, Artificial Intelligence 172, 1360-1399.
Wilson, N., 2008, Extending Uncertainty Formalisms to Linear Constraints and Other Complex Formalisms, International Journal of Approximate Reasoning 49(1): 83-98, 2008.
Beck, J.C., and Wilson, N., 2007, Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations, Journal of Artificial Intelligence Research (JAIR), 28, 183-232.
Wilson, N., 2006, A Logic of Soft Constraints based on Partially Ordered Preferences, Journal of Heuristics, Volume 12, Numbers 4-5 / September, 2006, 241-262.
Wilson, N., 2004, The Beginnings of a Logical Semantics Framework for the Integration of Thematic Map Data, International Journal of Geographical Information Science 18(4): 389-415.
Wilson, N., and Mengin, J., 2001, Embedding Logics in the Local Computation Framework, Journal of Applied Non-Classical Logics, (3-4): 239-261.
Wilson, N., 1992a, How Much Do You Believe?, International Journal of Approximate Reasoning, 6, No. 3, 345-366.
Wilson, N., 1992b, The Combination of Belief: When and How Fast, International Journal of Approximate Reasoning, 6, No. 3, 377-388. Book ChapterWilson, N., 2000, Algorithms for Dempster-Shafer Theory, in Volume 5: Algorithms, of Handbook of Defeasible Reasoning and Uncertainty Management Systems, edited by D. M. Gabbay and P. Smets. Kluwer Academic Publishers, 421-475. Conference Paper PublicationsWilson, N., Trabelsi, W., 2011. Pruning Rules for Constrained Optimisation for Conditional Preferences. Proceedings of the 17th International Conference on Principles and Practice of Constraint Programming (CP 2011), 804-818.
Marinescu, R., Wilson, N., 2011. Order-of-Magnitude Influence Diagrams. Proc. 27th Conference on Uncertainty in Artificial Intelligence, (UAI 2011).
Schumann A., Wilson N., 2011, Predicting the Distribution of Thermal Comfort Votes. Proceedings of the 24rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligence (IEA-AIE-11), 480-489.
Trabelsi, W., Wilson, N., Bridge, D., and Ricci, F., 2010, Preference Dominance Approaches for Conversational Recommender Systems. Proc. 22th International Conference on Tools with Artificial Intelligence (ICTAI - 2010) (Winner of the Best Paper award.)
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2010, Context-Sensitive Call Control using Constraints and Rules. Proceedings of the 16th International Conference on Principles and Practice of Constraint Programming (CP2010).
Bienvenu, M., Lang, J., and Wilson, N., 2010, From preference logics to preference languages, and back Proceedings of the Twelfth International Conference on Principles of Knowledge Representation and Reasoning (KR 2010).
Schumann A., Wilson N., Burillo M., 2010, Learning User Preferences to Maximize Occupant Comfort in Office Buildings, Proceedings of the 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligence (IEA-AIE-10).
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2010, David Lesaint, Deepak Mehta, Barry O'Sullivan, Luis Quesada, Nic Wilson: Improving the Global Constraint SoftPrec (poster paper), Proc. European Conference on Artificial Intelligence (ECAI 2010): 1061-1062
Wilson, N., 2009, Efficient Inference for Expressive Comparative Preference Languages, Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), 961-966.
Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2009, A Soft Global Precedence Constraint Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), 566-571 Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2009, Search Space Extraction. Proc. Principles and Practice of Constraint Programming, 15th International Conference (CP 2009), 608-622
Fargier, H., and Wilson, N., 2009, Local Computation Schemes with Partially Ordered Preferences. Proc. Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10th European Conference, ECSQARU 2009, 34-45
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2009, A Soft Global Precedence Constraint Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), 566-571.
Hadzic, T., Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2008, A BDD Approach to the Feature Subscription Problem Prestigous Applications of Intelligent Systems (PAIS 2008) in Proceedings of 18th European Conference on Artificial Intelligence, ECAI 2008, 698-702.
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2008, Solving a Telecommunications Feature Subscription Configuration Problem. Proc. 14th International Conference on Principles and Practice of Constraint Programming (CP2008): 67-81
Lesaint, D., Mehta, D., O'Sullivan, B., Quesada, L., and Wilson, N., 2008, Personalisation of Telecommunications Services as Combinatorial Optimisation, Proceedings of the 20th Conference on Innovative Applications of Artificial Intelligence (IAAI-2008).
Wilson, N., 2008, An Efficient Deduction Mechanism for Expressive Comparative Preferences Languages (poster paper), Proc. European Conference on Artificial Intelligence (ECAI 2008), 849-850.
Wilson, N., Grimes, D., and Freuder, E.C., 2007, A Cost-Based Model and Algorithms for Interleaving Solving and Elicitation of CSPs, Proc. 13th International Conference on Principles and Practice of Constraint Programming (CP2007), 666-680.
Fargier, H., and Wilson, N., 2007, Algebraic Structures for Bipolar Constraint-based Reasoning, Proceedings of ECSQARU 2007, 623-634.
Wilson, N., 2006, An Efficient Upper Approximation for Conditional Preference, Proc. European Conference on Artificial Intelligence (ECAI 2006), 472-476. (One of the ten best papers.)
Nicholson, R., Bridge, D., and Wilson, N., 2006, Decision Diagrams: Fast and Flexible Support for Case Retrieval and Recommendation, Proceedings of the Eighth European Conference on Case-Based Reasoning, Springer LNAI 1406, 136-150. (Winner of the Best Paper award.)
Wallace, R. J., and Wilson, N., 2006. Conditional Lexicographic Orders in Constraint Satisfaction Problems. Proc. CPAIOR 2006: Lecture Notes in Computer Science 3990, Springer. 258-272.
Wilson, N., 2005, Decision Diagrams for the Computation of Semiring Valuations, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), 331-336.
Beck, J.C., and Wilson, N., 2005, Proactive Algorithms for Scheduling with Probabilistic Durations, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), 1201-1206.
Goldsmith, J., Lang, J., Truszczynski, M., and Wilson, N., 2005, The Computational Complexity of Dominance and Consistency in CP-nets, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), 144-149.
Benferhat, S., Ben-Naim, J., Jeansoulin, R., Khelfallah, M., Lagrue, S., Papini, O., Wilson, N., Wurbel, E., 2005, Belief Revision of GIS Systems: The Results of REV!GIS. Proc. ECSQARU 2005, 452-464.
Wilson, N., 2004, Extending CP-Nets with Stronger Conditional Preference Statements, Proceedings of AAAI-04, 735-741.
Wilson, N., 2004, Consistency and Constrained Optimisation for Conditional Preferences, Proc. European Conference on Artificial Intelligence (ECAI 2004), 888-892.
Beck, J.C., and Wilson, N., 2004, Job Shop Scheduling with Probabilistic Durations, Proc. European Conference on Artificial Intelligence (ECAI 2004), 652-656.
Wilson, N., 2004, Uncertain Linear Constraints, Proc. European Conference on Artificial Intelligence (ECAI 2004), 231-238.
Wilson, N., 2004. Soft Constraints with Partially Ordered Preferences (poster paper). Proc. European Conference on Artificial Intelligence (ECAI 2004), 1111-1112.
Wilson, N., 2001, Modified Upper and Lower Probabilities based on Imprecise Likelihoods, Proceedings of the 2nd International Symposium on Imprecise Probabilities and Their Applications (ISIPTA'01), 370-378.
Wilson, N., 1999, A Logic of Extended Probability, Proceedings of the 1st International Symposium on Imprecise Probabilities and Their Applications (ISIPTA'99), 397-404.
Wilson, N., and Mengin, J., 1999, Logical Deduction Using the Local Computation Framework. Proc. ESCQARU 1999, 386-396.
Wilson, N., 1996a, Extended Probability, Proceedings of the 12th European Conference on Artificial Intelligence (ECAI96), John Wiley and Sons, 667-671.
Wilson, N., and Moral, S., 1996, Fast Markov Chain Algorithms for Calculating Dempster-Shafer Belief, Proceedings of the 12th European Conference on Artificial Intelligence (ECAI96), John Wiley and Sons, 672-676.
Wilson, N., 1995, An Order of Magnitude Calculus, Proceedings of the Eleventh Conference of Uncertainty in Artificial Intelligence (UAI95), 548-555.
Moral, S., and Wilson, N., 1994, Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief, Proceedings of the Twelfth National Conference on Artificial Intelligence, (AAAI-94), 269-274.
Wilson, N., and Moral, S., 1994, A Logical View of Probability, Proceedings of the 11th European Conference on Artificial Intelligence, (ECAI-94), 386-390.
Wilson, N., 1994, Generating Graphoids from Generalised Conditional Probability. Proceedings of the Tenth Conference of Uncertainty in Artificial Intelligence (UAI94), 583-590.
Wilson, N., 1993, Decision-Making with Belief Functions and Pignistic Probabilities. Proceedings of ECSQARU 1993, 364-371.
Wilson, N., 1993, Default Logic and Dempster-Shafer Theory. Proceedings of ECSQARU 1993, 372-379.
Wilson, N., 1993, The Assumptions Behind Dempster's Rule, Proceedings of the Ninth Conference of Uncertainty in Artificial Intelligence (UAI93), Morgan Kaufmann Publishers, 527-534.
Clarke, M.R.B., Wilson, N., 1991, Efficient Algorithms for Belief Functions based on the Relationship netween Belief and Probability, Proceedings of ECSQARU 1991, 48-52.
Wilson, N., 1991, A Monte-Carlo Algorithm for Dempster-Shafer Belief, Proc. 7th Conference on Uncertainty in Artificial Intelligence (UAI91), Morgan Kaufmann Publishers, 414-417. PhD ThesisWilson, P. N., 1992, Some Theoretical Aspects of the Dempster-Shafer Theory, PhD thesis, Oxford Polytechnic, May 1992. Invited ResponsesWilson, N., 1996b, Comments on paper, page 38 in: Peter Walley, Inferences from Multinomial Data: Learning about a Bag of Marbles, Journal of the Royal Statistical Society, Series B (Methodological), Vol. 58, No. 1. pp. 3-57.
Wilson, N., 1994, Vagueness and Bayesian probability. IEEE Transactions on Fuzzy Systems. 34-36. DOI: 10.1109/91.273121. |