Spiliopoulos, Leonidas

Associate Research Scientist

Curriculum Vitae


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

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

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

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

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

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

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

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

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

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

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

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

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

14.Spiliopoulos, L. & Ortmann, A. The BCD of Response Time Analysis in Experimental Economics. http://ssrn.com/abstract=2401325 (2016) doi:http://dx.doi.org/10.2139/ssrn.2401325.

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

16.Spiliopoulos, L. 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 (2011). doi:10.1007/978-4-431-53907-0_5.

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

18.Spiliopoulos, L. Journal of Economic Psychology. J Econ Psychol 32, 688–690 (2011).

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

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

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