Predicting Decisions in Language Based Persuasion Games

Autor: Apel, Reut, Erev, Ido, Reichart, Roi, Tennenholtz, Moshe

Publikováno v: Apel R, Erev I, Reichart R, Tennenholtz M. Predicting Decisions in Language Based Persuasion Games. Journal of Artificial Intelligence Research. 2022 Mar 31;73:1025-1091

Sender-receiver interactions, and specifically persuasion games, are widely researched in economic modeling and artificial intelligence. However, in the classic persuasion games setting, the messages sent from the expert to the decision-maker (DM) ar

Externí odkaz: http://arxiv.org/abs/2012.09966

Predicting human decisions with behavioral theories and machine learning

Autor: Plonsky, Ori, Apel, Reut, Ert, Eyal, Tennenholtz, Moshe, Bourgin, David, Peterson, Joshua C., Reichman, Daniel, Griffiths, Thomas L., Russell, Stuart J., Carter, Evan C., Cavanagh, James F., Erev, Ido

Predicting human decision-making under risk and uncertainty represents a quintessential challenge that spans economics, psychology, and related disciplines. Despite decades of research effort, no model can be said to accurately describe and predict h

Externí odkaz: http://arxiv.org/abs/1904.06866

Conformity and Group Performance.

Autor: Abofol, Taher¹ (AUTHOR), Erev, Ido¹ (AUTHOR), Sulitzeanu-Kenan, Raanan² (AUTHOR) raanan.s-k@mail.huji.ac.il

Publikováno v: Human Nature. Sep2023, Vol. 34 Issue 3, p381-399. 19p.

A novel cost/benefit approach for reducing frequency of deviant driving speeds in expressways

Autor: Navon, David, Kasten, Ronen, Pomerants, Amit, Erev, Ido

Publikováno v: In Transportation Research Part F: Psychology and Behaviour April 2019 62:855-869

Self-monitoring of driving speed

Autor: Etzioni, Shelly, Erev, Ido, Ishaq, Robert, Elias, Wafa, Shiftan, Yoram

Publikováno v: In Accident Analysis and Prevention September 2017 106:76-81