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COGNITIVE SCIENCE OF RELIGION

  1. Upal, M. A. (2022) Minimally Counterintuitive Concepts: A Unified Theory in the Cognitive Science
    of Religion?, 82-93, in Lair & Lane (Eds) The Routledge Handbook of Evolutionary Approaches to Religion, New York: Routledge.

  2. Upal, M. A. (2015) Why Stickiness is not Enough to Explain Persistence of Counterintuitive Religious Concepts, in Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (eds), Proceedings of the 38th Annual Conference of the Cognitive Science Society Conference, 2452-2456, Austin, TX: Cognitive Science Society. (ISBN: 978-0-9911967-2-2)

  3. Upal, M. A. (2014) Strong flying women and weak invisible men: How people make superhuman concepts coherent, in Bello, P., Guarini, M., McShane, M., and Scassellati, B. (EDS) Proceedings of the 36th Annual Conference of the Cognitive Science Society, 3002-3007, Austin, TX: Cognitive Science Society.

  4. Upal, M. A. (2014) A Cognitive Framework for counterintuitive story understanding, M. Finlayson, C. Meister & e. Bruneau (eds), Proceedings of the Fifth International Workshop on Computational Modeling of Narratives, pages 224-242, Berlin: Schloss Dagstuhl.

  5. Upal, M. A. (2014) Does narrative transportation facilitate memory for counterintuitive concepts, in Bello, P., Guarini, M., McShane, M., and Scassellati, B. (EDS) Proceedings of the 36th Annual Conference of the Cognitive Science Society, 3430, Austin, TX: Cognitive Science Society.

  6. Nielbo, K., Braxton, D., & Upal, M. A (2012) Computing Religion: A new tool in the multilevel analysis of religion, Journal of Method and Theory in the Study of Religion, 24(3), 267-290.

  7. Harmon-Vukic, M., Upal, M. A., & Trainor, C. (2013) Understanding the role of context in memory for maximally counterintuitive concepts, in Knauff, M, Pauen, M., Sebanz, N., Wachsmuth, I. (eds), Proceedings of the 35th Annual Conference of the Cognitive Science Society, Austin, TX: Cognitive Science Society. (ISBN: 978-0-9768318-9-1)

  8. Harmon-Vukic, M., Upal, M. A., & Sheehan, K. (2012) Understanding the Memory Advantage of Counterintuitive Concepts, Journal of Religion, Brain & Behavior, 2(1), 121-139.

  9. Upal, M. A. (2011) From Individual to Social Counterintuitiveness: How layers of innovation weave together to form tapestries of human cultures, Mind and Society, 10(1), 79-96.

  10. Upal, M. A. (2011) Memory, Mystery and Coherence: Does the presence of 2-3 counterintuitive concepts predict cultural success of a narrative? Journal of Cognition and Culture, 11(1-2), 23-48.

  11. Harmon-Vukic, M., Upal, M. A., Sheehan, K. (2011) The Role of Mental Elaborations in Making Counterintuitive Ideas Memorable, in Carlson, L, Hoelscher, C., and Shipley, T. F. (eds), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 985-990, Austin, TX: Cognitive Science Society. (ISBN 978-0-9768318-7-7)

  12. Upal, M. A. (2011) Ratcheting-up of Counterintuitiveness in Rumors and New Religious Movement Doctrine, in Carlson, L, Hoelscher, C., and Shipley, T. F. (eds), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 1324-1329, Austin, TX: Cognitive Science Society. (ISBN 978-0-9768318-7-7)

  13. Upal, M. A. (2010) An Alternative View of the Minimal Counterintuitiveness Effect, Journal of Cognitive Systems Research, 11(2), 194-203.

  14. Upal, M. A. (2010) Finding the Sweet Spot: Is there a fixed MCI-template for culturally successful folktales, in Ohlsson, S. & Catrambone, R. (eds) Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, 2733-2738, Austin, TX: Cognitive Science Society.

  15. Upal, M. A. (2010) On attractiveness of surprising ideas: how memorability of culturally counterintuitive ideas drives cultural dynamics, in Ohlsson, S. & Catrambone, R. (eds) Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, 742-747, Austin, TX: Cognitive Science Society.

  16. M. A. Upal & M. Harmon-Vukic (2010) Influence of Integration and Counterintuitiveness on Memory for Text, in Ohlsson, S. & Catrambone, R. (eds) Proceedings of the 32nd Annual Meeting of Cognitive Science Society, 2417,Austin, TX: Cognitive Science Society.

  17. M. A. Upal (2010) Explaining the Minimal Counterintuitiveness Effect Without Assuming A Strongly Modular Mind, in Ohlsson, S. & Catrambone, R. (eds) Proceedings of the 32nd Annual Meeting of Cognitive Science Society, 2411, Austin, TX: Cognitive Science Society.

  18. M. A. Upal, L. Gonce, R. Tweney, and J. Slone (2007) Contextualizing counterintuitiveness: How context affects comprehension and memorability of counterintuitive concepts, Cognitive Science, 31(3), 415-439.

  19. D. J. Slone, L. Gonce, M. A. Upal, K. Edwards, R. Tweney (2007) Imagery effects on recall of minimally counterintuitive concepts, Cognition and Culture, 7(3-4), 355-367.

  20. M. A. Upal (2007), Report on the Cognition & Culture Workshop, in Proceedings of the 29th Annual Meeting of the Cognitive Science Society, pages 57-58, Lawrence Erlbaum Press.

  21. M. A. Upal (2007), The Optimal Cognitive Template of Minimally Counterintuitive Narratives, in D. S. McNamara & J. G. Trafton (eds) Proceedings of the 29th Annual Meeting of the Cognitive Science Society, 1575-1579, Lawrence Erlbaum Press. (ISBN 0-9768318-3-X)

  22. M. A. Upal (2007) What is More Memorable Counterintuitive Concepts Interpreted Metaphorically or Literally?, in  D. S. McNamara & J. G. Trafton (eds) Proceedings of the 29th Annual Meeting of the Cognitive Science Society, 1581-1586, Lawrence Erlbaum Press.

  23. R. Tweney, M. A. Upal, L. Gonce, D. J. Slone, K. Edwards (2006) The Creative Structuring of Counterintuitive Worlds, Cognition and Culture, 6 (3-4), 483-498.

  24. 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.

  25. M. A. Upal, Role of Context in Memorability of Intuitive and Counterintuitive Concepts, in B. Bara, L. Barsalou, & M. Bucciarelli (eds) Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2224-2229, Lawrence Earlbaum, Mahwah, NJ. (ISBN 0-9768318-1-3)

  26. M. A. Upal (2005) A myth understanding system, in B. Bara, L. Barsalou, & M. Bucciarelli (eds) Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2567, Lawrence Earlbaum, Mahwah, NJ, 2005. (ISBN 0-9768318-1-3)

  27. M. A. Upal (2005) Towards a computational science of culture,in B. Bara, L. Barsalou, & M. Bucciarelli (eds) Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2568, Lawrence Earlbaum, Mahwah, NJ, 2005. (ISBN 0-9768318-1-3)

  28. M. A. Upal (2005) Towards A Cognitive Science of New Religious Movements, Journal of Cognition and Culture, 5(2), 214-239.

COGNITIVE SCIENCE OF NEW RELIGIOUS MOVEMENTS

  1. Upal, M. A. (2022) Cultural Genetics of the Ahmadiyya Muslim Jama'at, 637-657, in Upal & Cusack (Eds) Handbook of Islamic Sects & Movements, New York: Brill.

  2. Upal, M. A. (2017) Moderate Fundamentalists: Ahmadiyya Muslim Jama'at in the lens of cognitive science of religion, Berlin, Germany: DeGruyter.

  3. Upal, M. A. (2015) Why Stickiness is not Enough to Explain Persistence of Counterintuitive Religious Concepts, in Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (eds), Proceedings of the 38th Annual Conference of the Cognitive Science Society Conference, 2452-2456, Austin, TX: Cognitive Science Society. (ISBN: 978-0-9911967-2-2)

  4. Upal, M. A. (2011) Why radicals win the newsday: Ratcheting-up of Counterintuitiveness in Rumors and New Religious Movement Doctrine, in Carlson, L, Hoelscher, C., and Shipley, T. F. (eds), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 1324-1329, Austin, TX: Cognitive Science Society. (ISBN 978-0-9768318-7-7)

  5. M. A. Upal. (2005)  Towards A Cognitive Science of New Religious Movements, Journal of Cognition and Culture, 5(2), 214-239: 2005.

COUNTERING VIOLENT EXREMISM & RADICALIZATION

  1. Upal, M. A. (2015) Alternative Narratives for Preventing the Radicalization of Muslim Youth, Journal of Deradicalization, 15(2), 138-162.

  2. Upal, M. A. (2015) Countering Islamic Jihadist Movements, Journal of Terrorism Research, 6(2), 57-69.

  3. Upal, M. A. (2015) Using Social Psychology to Counter Terrorism, Cicero Magazine.

  4. Upal, M. A. (2015) Why Moderate Muslims Balk at 'Je Suis Charlie,' Jihad Watch.

  5. Norton, S. & Upal, (2014) M. A. Narratives, Identity, and terrorism, in Bramadat, P. & Dawson, L. (eds) Religious Radicalization & Beyond,Toronto: University of Toronto Press, pages 285-300.

MARKETING & ADVERTISING

  1. Upal, M. A. (2014) Three practical lessons from the science of information operation design, Canadian Military Journal, 14(2), 53-58.

  2. Upal, M. A. (2010) To Be Subtle or To Be Clear?: Comparing Strategies for Changing People’s Attitudes Towards Social Groups,  in Ohlsson, S. & Catrambone, R. (eds) Proceedings of the 32nd Annual Meeting of Cognitive Science Society, 2406, Austin, TX: Cognitive Science Society.

DATA SCIENCE & MACHINE LEARNING

  1. Upal, M. A. & Marupaka, P. (2016) What makes messages popular on Twitter, in Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (eds) Proceedings of the 38th Annual Conference of the Cognitive Science Society, 3079, Austin, TX: Cognitive Science Society.

  2. Riordan, B., Wade, H. & Upal, M. A. (2014) Detecting sociostructural beliefs about group status differences in online discussions, in Proceedings of the Association for Computational Linguistics Workshop on latent attribute prediction in social media.

  3. Upal, M. A (2011) Automated Extraction of Weighted Semantic Maps to Study Cultural Differences, in in Carlson, L, Hoelscher, C., and Shipley, T. F. (eds), Proceedings of the 33rd Annual Meeting of Cognitive Science Society, 22282,  Austin, TX: Cognitive Science Society.

  4. M. A. Upal and S. Rogers (2005) Learning to improve reasoning, Computatitonal Intelligence, 21(4), 333-335, 2005.

  5. M. A. Upal (2005) Learning to improve plan quality, 21(4) Computational Intelligence, pages 440-461, 2005.

  6. M. A. Upal (2004) Learning General Graphplan Memos, in Proceedings of the International Conference on Artificial Intelligence,  Athens, GA: CSREA Press.

  7. M. A. Upal (2003) 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.

  8. M. A. Upal (2003) Learning General Graphplan Memos through Static Domain Analysis in , pp 510-514, Springer , New York.

  9. M. A. Upal. (2001) Learning plan rewrite rules, in Proceedings of the Fourteenth International FLAIRS Conference, pages 412-417, AAAI Press, Menlo Park CA.

  10. M. A. Upal. (2000) 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.

  11. M. A. Upal & R. Elio. (2000) 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.

  12. M. A. Upal (2000) Learning to Improve Quality of Plans Produced by Partial-order Planners, PhD Dissertation, Department of Computing Science, University of Alberta. (ISBN:0-612-59687-7)

  13. M. A. Upal (1999) Learning rewrite rules to improve plan quality, in J. Hendler & D. Subramanian (eds) Proceedings of the Sixteenth National Conference on Artificial Intelligence, 984, AAAI Press, Menlo Park, CA.

  14. M. A. Upal (1999) 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.

  15. M. A. Upal & R. Elio (1999) Learning rationales to generate high quality plans, in Proceedings of the Twelfth International FLAIRS Conference, pages 371-377, AAAI Press, Menlo Park CA.

  16. M. A. Upal & S. Padmanabhuni (1999) 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.

  17. M. A. Upal (1998) Learning only good things from others, in Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 1273, Lawrence Erlbaum, Mahwah, NJ.

  18. M. A. Upal & R. Elio (1998) 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.

  19. M. A. Upal & E. Neufeld (1996) 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.

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

AGENT-BASED SIMULATIONS & MULTIAGENT SYSTEMS

  1. Upal, M. A. & Gibbon, S. (2015) Agent-based simulation of social identity dynamics, in J. Shafagh (ed) Proceedings of the Spring Simulation Symposium, 185-192, Vista, CA: Society for Modeling & Simulation.
  2. Upal, M. A. (2014) A Framework for Agent-based Social Simulations of Social Identity Dynamics, pages 89-110, in vos Fellman, P, Bar-Yam, Y. & Minai, A. (eds) Complexity Science for Countering Terrorism, Insurgency & Ethnic Violence, Berlin, Springer.
  3. Nielbo, K., Braxton, D., & Upal, M. A (2012) Computing Religion: A new tool in the multilevel analysis of religion, Journal of Method and Theory in the Study of Religion, 24(3).
  4. M. A. Upal (2009) Predictive Models of Cultural Transmission, in Trajkovski & Collins (Ed) Agent-Based Societies: Social and Cultural Interactions, pp 51-58, Athens, GA: IGA Press.
  5. Upal, M. A. (2008) Artificial Intelligence and Religion, Journal of Cognitive Systems Research, 9(3), 232-235.

  6. M. A. Upal (2007) The Structure of False Social Beliefs, in Proceedings of the First IEEE Symposium on Artificial Life, pp 282-286, IEEE Press.

  7. M. A. Upal & R. Warren (2007) Towards A Knowledge-rich Agent-based Social Simulation in D. Nau & J. Wilkenfeld (eds) Proceedings of the 1st International Conference on Computational Cultural Dynamics, 87-96, Menlo Park, CA: AAAI Press (ISBN: 978-1-57735-342).

  8. M. A. Upal & R. Sama (2007), Effect of Communication on Belief Dynamics in Multi-Agent Systems, in Proceedings of the Eighth International Conference on Cognitive Modeling (ICCM), pp 15 -156, Oxford, UK: Taylor & Francis Press.

  9. M. A. Upal & R. Warren (2007) Simulating the Emergence of Complex Cultural Beliefs, in Proceedings of the 5th International Workshop on Agent-based Approaches in Economic and Social Complex Systems, 17-28, Berlin: Springer Verlag.

  10. M. A. Upal (2006) From Artificial Intelligence to Artificial Culture, in M. A. Upal & R. Sun (eds) Cognitive Modeling and Agent-based Social Simulation: Papers from the AAAI-06 Workshop, Menlo Park, CA: AAAI Press. (ISBN 978-1-57735-284-6), Menlo Park, CA: AAAI Press.

  11. R. Alexander & M. A. Upal (2006) Fashion as Collective Behavior, in Proceedings of the 14th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.

  12. A. Dakkak, M. Jackson, M. A. Upal (2006) Social Simulation of Knowledge Sharing and Reputation, in Proceedings of the 14th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.

  13. M. A. Upal. (2005) Simulating the Emergence of New Religious Movements, Journal of Artificial Societies and Social Simulation, 8(1).

  14. A. Marco, M. A. Upal, B. K. Chesney (2005) 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.

  15. M. A. Upal & R. Erfani (2005) Cognitive Capacity and Ideological Group Formation, in Proceedings of the 13th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.

  16. M. A. Upal & R. Erfani (2005) Emergence of Ideological Groups, in Proceedings of the 13th Annual Meeting of the North American Association for Computational Social & Organizational Sciences.

  17. M. A. Upal (2003) What-if Planning for Military Logistics in Proceedings of the Third International Conference on Intelligent System Design & Applications, 149-158, Springer Verlag, New York.
  18. M. A. Upal & F. Fung (2003) Dynamic Plan Evaluation for Military Logistics in Proceedings of the Seventh International Conference on Artificial Intelligence & Soft Computing, 87-92ACTA Press, Anaheim, CA.
  19. M. A. Upal (2003) Sexual Selection of Co-operation in Proceedings of the Fifth International Conference on Genetic and Evolutionary Computation (GECCO), pp 98-109, Springer, New York.
  20. J. MacInnes, O. Banyasad, and M. A. Upal (2001) Watching you watching me: opponent modeling using FSMs, in Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence, 361-364, Springer Verlag, New York.

COMPUTER GAMES

  1. Upal, M. A. (2005) Enhanced skill modeling in checkers, 

  2. J. MacInnes, O. Banyasad, and M. A. Upal (2001) Watching you watching me: opponent modeling using FSMs, in Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence, 361-364, Springer Verlag, New York.

RATIONAL CHOICE THEORY & SOCIAL IDENTITY THEORY

  1. Legault, L., Weinstein, N., Mitchell, J., Inzlicht, M., Pyke, K., Upal, M. A. (2016) Owning Up to Negative Ingroup Traits: How Personal Autonomy Promotes the Integration of Group Identity, Journal of Personality, March Issue.

  2. Upal, M. A. & Gibbon, S. (2015) Agent-based simulation of social identity dynamics, in J. Shafagh (ed) Proceedings of the Spring Simulation Symposium, 185-192, Vista, CA: Society for Modeling & Simulation.

  3. Upal, M. A. (2014) A Framework for Agent-based Social Simulations of Social Identity Dynamics, pages 89-110, in vos Fellman, P, Bar-Yam, Y. & Minai, A. (eds) Complexity Science for Countering Terrorism, Insurgency & Ethnic Violence, Berlin, Springer.

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