Leonidas Spiliopoulos

Research Fellow
Humboldt Experienced Research Fellow
spiliopoulos [at] mpib-berlin [dot] mpg [dot] de

Selected Literature: 

Spiliopoulos, L., & Ortmann, A. (2018). The BCD of Response Time Analysis in Experimental Economics. Experimental Economics, 21(2), 383–433.

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. & Hertwig, R. (2017). Nonlinear Decision Weights or Moment-Based Preferences? A Model Competition Involving Described and Experienced Skewness

Spiliopoulos, L., Ortmann, A., & Zhang, L. (2017). Complexity, attention and choice in games under time constraints: A process analysis, Journal of Experimental Psychology: Learning, Memory, and Cogntion, Forthcoming 

Ortmann, A. & Spiliopoulos, L. (2015). The Beauty of Simplicity? (Simple) Heuristics and the Opportunities Yet to Be Realized

O’Callaghan, C., Bertoux, M., Irish, M., Shine, J. M., Wong, S., Spiliopoulos, L., Hodges, J. R., & Hornberger, M. (2016). Fair play – Social norm compliance failures in behavioural variant frontotemporal dementia. Brain, 139(1), 204-216.

Spiliopoulos, L. (2015). Transfer of conflict and cooperation from experienced games to new games: A connectionist model of learning. Frontiers in Neuroscience, 9(102), 1-18.

Spiliopoulos, L., & Ortmann, A. (2014). Model Comparisons Using Tournaments: Likes, "Dislikes", and Challenges. Psychological Methods19(2), 230–250. 

Spiliopoulos, L. (2013). Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching. Games and Economic Behavior81, 69–85. 

Spiliopoulos, L. (2013). Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game. Journal of Autonomous Agents and Multi-Agent Systems27(1), 131–160. 

Spiliopoulos, L. (2012). Interactive learning in 2x2 normal form games by neural network agents. Physica A: Statistical Mechanics and Its Applications391(22), 5557–5562. 

Spiliopoulos, L. (2012). Pattern recognition and subjective belief learning in a repeated constant-sum game. Games and Economic Behavior75(2), 921–935. 

Spiliopoulos, L. (2011). Neural networks as a unifying learning model for random normal form games. Adaptive Behavior19, 383–408. 

Spiliopoulos, L. (2011). Learning backward induction: a neural network agent approach. Agent-Based Approaches in Economic and Social Complex Systems VI: Post-Proceedings of The AESCS International Workshop 2009, S.-H. Chen et al. (eds.).