Search Results for author: Ido Erev

Found 2 papers, 1 papers with code

Predicting Decisions in Language Based Persuasion Games

1 code implementation • 17 Dec 2020 • Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz

Our results demonstrate that given a prefix of the interaction sequence, our models can predict the future decisions of the decision-maker, particularly when a sequential modeling approach and hand-crafted textual features are applied.

Decision Making

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Predicting human decisions with behavioral theories and machine learning

no code implementations • 15 Apr 2019 • Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev

Here, we introduce BEAST Gradient Boosting (BEAST-GB), a novel hybrid model that synergizes behavioral theories, specifically the model BEAST, with machine learning techniques.

BIG-bench Machine Learning Decision Making +2

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