Spiliopoulos, Leonidas

Associate Research Scientist

Curriculum Vitae

(Returning) Humboldt Experienced Research Fellow


Yale University logo Yale University (Bachelor of Arts - BA, Economic Cum laude)

    Athens University of Economics and Business logoAthens University of Economics and Business (Master of Science - MS, International and European Economic Studies)

        University of Sydney logo University of Sydney (Doctor of Philosophy - PhD, Economics, Walter Noel Gillies Prize for best PhD thesis in Economics)

              Prior Experience

              Max Planck Institute for Human Development logoHumboldt Experienced Research Fellow (Max Planck Institute for Human Development, Jan 2014 - Dec 2015)

              UNSW logo Vice-Chancellor’s Postdoctoral Research Fellow (UNSW, Jan 2011 - Dec 2013)

              The Hong Kong University of Science and Technology logo E Research Fellow (The Hong Kong University of Science and Technology, Sep 2009 - Mar 2010)


              Rapoport, A., Seale, D. A., & Spiliopoulos, L. (2022). Progressive stopping heuristics that excel in individual and competitive sequential search. Theory and Decision, 1–31. https://doi.org/10.1007/s11238-022-09881-0

              Hertwig, R., Christina L., Thorsten P., Spiliopoulos L. , and T. J.  Pleskac (2021),  Studies in Ecological Rationality. Topics in Cognitive Science. https://doi.org/10.1111/tops.12567.

              Spiliopoulos, L. & Hertwig, R. (2020), A map of ecologically rational heuristics for uncertain strategic worlds. Psychol Rev 127, 245–280.

              Spiliopoulos, L. & Hertwig, R. (2019), Strategic Uncertainty and Incomplete Information: The Homo Heuristicus Does Not Fold. in (MIT Press).

              Spiliopoulos, L.  (2018), The determinants of response time in a repeated constant-sum game: A robust Bayesian hierarchical dual-process model. Cognition 172, 107–123.

              Spiliopoulos, L. (2018), Randomization and serial dependence in professional tennis matches: Do strategic considerations, player rankings and match characteristics matter? Judgment and Decision Making 13, 413–427.

              Spiliopoulos, L. & Hertwig, R. (2019), Nonlinear decision weights or moment-based preferences? A model competition involving described and experienced skewness. Cognition 183, 99–123.

              Spiliopoulos, L., Ortmann, A. & Zhang, L. (2018), Complexity, attention, and choice in games under time constraints: A process analysis. J Exp Psychology Learn Mem Cognition 44, 1609–1640.

              Spiliopoulos, L. & Ortmann, A. (2018), The BCD of response time analysis in experimental economics. Exp Econ 21, 383–433.

              Ortmann, A. & Spiliopoulos, L. (2017), The Beauty of Simplicity? (Simple) Heuristics and the Opportunities Yet to be Realized. in (ed. Altman, M.) (Edward Elgar).

              O’Callaghan, C. et al. (2016), Fair play: social norm compliance failures in behavioural variant frontotemporal dementia. Brain 139, 204–216.

              Spiliopoulos, L. (2015), Transfer of conflict and cooperation from experienced games to new games: A connectionist model of learning. Front Neurosci 9, 1–18.

              Spiliopoulos, L. & Ortmann, A. (2014), Model Comparisons Using Tournaments: Likes, “Dislikes,” and Challenges. Psychol Methods 19, 230–250.

              Spiliopoulos, L. (2013), Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching. Game Econ Behav 81, 69–85.

              Spiliopoulos, L. (2012), Pattern recognition and subjective belief learning in a repeated constant-sum game. Game Econ Behav 75, 921–935.

              Spiliopoulos, L. (2013), Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game. Auton Agent Multi-ag 27, 131–160.

              Spiliopoulos, L. (2012), Interactive learning in 2x2 normal form games by neural network agents. Phys Statistical Mech Appl 391, 5557–5562.

              Spiliopoulos, L. (2011), Agent-Based Approaches in Economic and Social Complex Systems VI, Post-Proceedings of The AESCS International Workshop 2009. in (eds. Chen, S.-H., Terano, Takao & Yamamoto, R.) 61–73. doi:10.1007/978-4-431-53907-0_5.

              Spiliopoulos, L. (2011), Neural networks as a unifying learning model for random normal form games. Adapt Behav 19, 383–408.

              Spiliopoulos, L. (2008) Essays on behavioral game theory: A multidisciplinary approach to learning.

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