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Predicting human decisions with behavioral theories and machine learning
v1v2v3 (latest)

Predicting human decisions with behavioral theories and machine learning

15 April 2019
Ori Plonsky
Reut Apel
E. Ert
Moshe Tennenholtz
David D. Bourgin
Joshua C. Peterson
Daniel Reichman
Thomas Griffiths
Stuart J. Russell
Evan C. Carter
J. Cavanagh
Ido Erev
ArXiv (abs)PDFHTML

Papers citing "Predicting human decisions with behavioral theories and machine learning"

12 / 12 papers shown
Title
How to Evaluate Behavioral Models
How to Evaluate Behavioral Models
G. dÉon
Sophie Greenwood
Kevin Leyton-Brown
J. R. Wright
58
0
0
07 Jun 2023
Human-Machine Collaboration for Smart Decision Making: Current Trends
  and Future Opportunities
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities
Baocheng Geng
P. Varshney
26
7
0
18 Jan 2023
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder
G. Horowitz
Yoav Wald
Roi Reichart
Nir Rosenfeld
OOD
48
7
0
01 Jun 2022
A Predictive Autonomous Decision Aid for Calibrating Human-Autonomy
  Reliance in Multi-Agent Task Assignment
A Predictive Autonomous Decision Aid for Calibrating Human-Autonomy Reliance in Multi-Agent Task Assignment
Larkin Heintzman
Ryan K. Williams
30
2
0
19 Dec 2021
Cognitive science as a source of forward and inverse models of human
  decisions for robotics and control
Cognitive science as a source of forward and inverse models of human decisions for robotics and control
Mark K. Ho
Thomas Griffiths
104
38
0
01 Sep 2021
Inverse Bayesian Optimization: Learning Human Acquisition Functions in
  an Exploration vs Exploitation Search Task
Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task
N. Sandholtz
Yohsuke R. Miyamoto
L. Bornn
Maurice A. Smith
124
8
0
16 Apr 2021
Empirica: a virtual lab for high-throughput macro-level experiments
Empirica: a virtual lab for high-throughput macro-level experiments
Abdullah Almaatouq
Joshua P. Becker
J. Houghton
Nicolas Paton
Duncan J. Watts
Mark E. Whiting
53
42
0
19 Jun 2020
Applying Transparency in Artificial Intelligence based Personalization
  Systems
Applying Transparency in Artificial Intelligence based Personalization Systems
Laura Schelenz
A. Segal
Y. Gal
45
11
0
02 Apr 2020
Modelling Human Active Search in Optimizing Black-box Functions
Modelling Human Active Search in Optimizing Black-box Functions
Antonio Candelieri
R. Perego
I. Giordani
Andrea Ponti
Francesco Archetti
51
9
0
09 Mar 2020
Measuring the Completeness of Theories
Measuring the Completeness of Theories
D. Fudenberg
Jon M. Kleinberg
Annie Liang
S. Mullainathan
VLM
37
48
0
15 Oct 2019
Machine learning and behavioral economics for personalized choice
  architecture
Machine learning and behavioral economics for personalized choice architecture
Emir Hrnjic
N. Tomczak
CMLAI4CE
48
8
0
03 Jul 2019
Cognitive Model Priors for Predicting Human Decisions
Cognitive Model Priors for Predicting Human Decisions
David D. Bourgin
Joshua C. Peterson
Daniel Reichman
Thomas Griffiths
Stuart J. Russell
66
72
0
22 May 2019
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