Ido Erev

Ido Erev is an academic.^[1]^[2]^[3]^[4]

References

^ Erev, I. and E. Haruvy (2016). "Learning and the economics of small decisions". In Kagel, J.H. and Roth, A.E. (Eds.), The Handbook of Experimental Economics. Princeton University Press
^ Erev, I., & Roth, A. E. (1998). Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria. American Economic Review, 848-881.
^ Erev, I., Ert, E., Roth, A. E., Haruvy, E., Herzog, S. M., Hau, R., ... & Lebiere, C. (2010). "A choice prediction competition: Choices from experience and from description". Journal of Behavioral Decision Making, 23(1), 15-47.
^ Perry, O., Erev, I., & Haruvy, E. (2002). "Frequent probabilistic punishment in law enforcement". Economics of Governance, 3(1), 71-86.

Ido Erev: "Big data without big brothers: the potential of gentle rule enforcement"
"The impact of experience on the phenomena summarized by prospect theory" was presented in The D-TEA (Decision: Theory, Experiments, and Applications) Zoom meeting on Prospect Theory, June 16-19, 2020
Ido Erev lecture in London Judgment and Decision Making seminars, 21st October 2020