Publications

• 2007
  1. M. A. Upal, The Optimal Cognitive Template of Minimally Counterintuitive Narratives, in Proceedings of the 29th Annual Meeting of the Cognitive Science Society.
  2. M. A. Upal, What is More Memorable Counterintuitive Concepts Interpreted Metaphorically or Literally?, in Proceedings of the 29th Annual Meeting of the Cognitive Science Society.
  3. M. A. Upal, The Structure of False Social Beliefs, in Proceedings of the First IEEE Symposium on Artificial Life, IEEE Press.
  4. M. A. Upal, L. Gonce, R. Tweney, and J. Slone, Contextualizing counterintuitiveness: How context affects comprehension and memorability of counterintuitive concepts, Cognitive Science, vol 31, 1-25.
  5. D. J. Slone, L. Gonce, M. A. Upal, K. Edwards, R. Tweney (in press) Imagery effects on recall of minimally counterintuitive concepts.
• 2006
  1. R. Tweney, M. A. Upal, L. Gonce, D. J. Slone, K. Edwards. The Creative Structuring of Counterintuitive Worlds, Cognition and Culture , 6 (3-4), 483-498.
  2. M. A. Upal & R. Sun (editors) Cognitive Modeling and Agent-based Social Simulation: Papers from the AAAI-06 Workshop (ISBN 978-1-57735-284-6), Menlo Park, CA: AAAI Press, 2006.
  3. L. Gonce, M. A. Upal, D. J. Slone, R. D. Tweney. (2006) Role of Context in the Recall of Counterintuitive Concepts, Journal of Cognition and Culture, 6 (3-4), 521-547.
  4. M. A. Upal, From Artificial Intelligence to Artificial Culture, page 1-5 in M. A. Upal & R. Sun (editors) Cognitive Modeling and Agent-based Social Simulation: Papers from the AAAI-06 Workshop (ISBN 978-1-57735-284-6), Menlo Park, CA: AAAI Press, 2006.
  5. R. Alexander, M. A. Upal, Fashion as Collective Behavior, in Proceedings of the 14th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.
  6. A. Dakkak, M. Jackson, M. A. Upal, Social Simulation of Knowledge Sharing and Reputation, in Proceedings of the 14th Annual Meeting of the North American Association for Computational Social & Organizational Social Sciences.
  7. W. Achtner, E. Aimer, S. Anand, D. Applet, N. Ashish, T. Barnes, J. Beck, M. Dias, C. Elazmeh, A. Felner, D. Freitag, H. Geffner, C. Geib, R. Goodwin, R. Holte, F. Hutter, F. Issac, N. Japkowicz, G. Kaminka, S. Koenig, M. Lagoudakis, D. Leake, L. Lewis, H. Liu, T. Metzler, R. Mihalcea, B. Mobasher, P. Poupart, D. Pyndath, T. Roth-Berghofer, W. Ruml, S. Schulz, S. Shwarz, S. Seneff, A. Sheth, M. Theilscher, A. Upal, J. Williams, S. Young, D. Zelenko, Reports on the 21st National Conference on Artificial Intelligence Workshops, 92-102, AI Magazine, 27(4).
• 2005
  1. M. A. Upal, and S. Rogers, Learning to improve reasoning, Computatitonal Intelligence, 21(4), pages 333-335, 2005.
  2. M. A. Upal & R. Erfani, Cognitive Capacity and Ideological Group Formation, in Proceedings of the 13th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.
  3. M. A. Upal. Simulating the Emergence of New Religious Movements, Journal of Artificial Societies and Social Simulation, 8(1): 2005.
  4. M. A. Upal. Towards A Cognitive Science of New Religious Movements, Journal of Cognition and Culture, 5(2), 214-239: 2005.
  5. M. A. Upal & R. Erfani, Emergence of Ideological Groups, in Proceedings of the 13th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.
  6. M. A. Upal, Role of Context in Memorability of Intuitive and Counterintuitive Concepts, in Proceedings of the 27th Annual Meeting of the Cognitive Science Society, pages 2224-2229, Lawrence Earlbaum, Mahwah, NJ, 2005.
  7. M. A. Upal. Learning to improve plan quality, 21(4) Computational Intelligence, pages 440-461, 2005.
  8. A. Marco, M. A. Upal, B. K. Chesney, Game Theory and the Operating Room Staff: Cooperation in a Prisoner's Dilemma Game, in Proceedings of the Annual Meeting of the American Society of Anesthesiologists
  9. M. A. Upal, A Myth Understanding System, in Proceedings of the 27th Annual Meeting of the Cognitive Science Society, page 2567, Lawrence Earlbaum, Mahwah, NJ, 2005.
  10. M. A. Upal, Towards a computational science of culture, in Proceedings of the27th Annual Meeting of the Cognitive Science Society, page 2568, Lawrence Earlbaum, Mahwah, NJ, 2005.

• 2004
  1. M. A. Upal. A Computational Model for Learning Counterintuitive Concepts in Proceedings of International Conference on Cognitive Modeling, 2004.
  2. M. A. Upal. Learning General Graphplan Memos, in Proceedings of the International Conference on Artificial Intelligence, 2004.

• 2003
  1. M. A. Upal. What-if Planning for Military Logistics, in Proceedings of the Third International Conference on Intelligent System Design & Applications, pages 149-158, Springer Verlag, New York, 2003.
  2. M. A. Upal. Performance Evaluation Metrics for Link Discovery Systems in Proceedings of the Third International Intelligent System Design & Applications, pages 273-282, Springer Verlag, New York, 2003.
  3. M. A. Upal & F. Fung. Dynamic Plan Evaluation for Military Logistics in Proceedings of International Conference on Artificial Intelligence & Soft Computing, pages 87-92, ACTA Press, Calgary, 2003.
  4. M. A. Upal. Sexual Selection of Co-operation, in Proceedings of the Fifth International Conference on Genetic and Evolutionary Computation (GECCO), pages 98-109, Springer Verlag, New York, 2003.
  5. M. A. Upal. Learning Graphplan Memos through Static Domain Analysis in Proceedings of the Sixteenth Canadian Conference on Artificial Intelligence, Springer Verlag, New York, 2003.

• 2002
  1. M. A. Upal, Sexual Selction of Co-operation, in Notes of the 2nd International Lake Arrowhead Conference on Computational Social Sciences, 2002.
  2. M. A. Upal & Robert C. Schrag, Ultra*Log Final Report, Information Extraction and Transport (IET) Inc.
  3. M. A. Upal, Link Discovery Scoring, Information Extraction and Transport (IET) Inc.

• 2001
  1. M. A. Upal. Learning plan rewrite rules using static domain analysis, in Proceedings of the Fourteenth International FLAIRS Conference, pages 412-417, AAAI Press, Menlo Park CA, 2001.
  2. J. MacInnes, O. Banyasad, and M. A. Upal. Watching you watching me: opponent modeling using FSMs, in Proceedings of Canadian Conference on Artificial Intelligence, pages 361-364, Springer Verlag, New York, 2001.

• 2000
  1. M. A. Upal. Learning from others to improve planning performance, in Proceedings of the International Conference on Artificial Intelligence and Soft Computing, pages 227-233, ACTA Press, Calgary, 2000.
  2. M. A. Upal & R. Elio. Learning search control rules versus rewrite rules to improve plan quality, in Proceedings of the Thirteenth Canadian Conference on Artificial Intelligence, pages 240-253, Springer Verlag, New York, 2000.

• 1999
  1. M. A. Upal, Machine Learning to Improve Quality of Plans Produced by Partial-order Planners, PhD Dissertation, Department of Computing Science, University of Alberta.
  2. M. A. Upal. Learning rewrite rules to improve plan quality, in Proceedings of the Sixteenth National Conference on Artificial Intelligence, page 984, AAAI Press, Menlo Park CA, 1999.
  3. M. A. Upal. Using mixed-initiative setting to improve planning performance, in Proceedings of the Eighth International Conference on Intelligent Systems, pages 78-82, ISCA Press, Cary, NC, 1999.
  4. M. A. Upal & R. Elio. Learning rationales to generate high quality plans, in Proceedings of the Twelfth International FLAIRS Conference, pages 371-377, AAAI Press, Menlo Park CA, 1999.
  5. M. A. Upal & S. Padmanabhuni. Using functional representation to learn how to program, in Proceedings of the Twelfth IEEE Canadian Conference on Electrical and Computer Engineering, pages 1052-1056, IEEE Press, Ottawa, 1999.

• 1998
  1. M. A. Upal. Learning only good things from others, in Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, page 1273, Lawrence Erlbaum, Mahwah, NJ, 1998.
  2. M. A. Upal & R. Elio. Learning to improve quality of the solutions produced by partial-order planners, in Proceedings of the AIPS-98 Workshop on Knowledge Engineering and Acquisition for Planning: Bridging Theory and Practice, pages 94-104, 1998.

• 1997
  1. M. A. Upal, Variability bias for learning multiple concepts.
  2. M. A. Upal, Apprenticeship: a metaphor for human skill acquisition.

• 1996
  1. M. A. Upal & E. Neufeld. Comparison of unsupervised classifiers in Proceedings of the First International Conference on Information, Statistics and Induction in Science (ISIS), pages 342-353, World Scientific, River Edge, NJ, 1996.

• 1995
  1. M. A. Upal, A Monte Carlo Comparison of Non-hierarchical Unsupervised Classifiers, Masters Thesis, Department of Computer Science, University of Saskatchewan.

• 1994
  1. M. A. Upal and E. Neufeld, A comparison of Bayesian and neural net unsupervised classifiers, in Notes of Annual Graduate Symposium on Computational Science.