Guest Editors
Table of contents
View the table of contents with abstracts on APA PsycNet
Introduction
- The Interface Between Machine Learning, Artificial Intelligence, and Decision Research
Clintin P. Davis-Stober, Ido Erev, and Sudeep Bhatia
Articles
- Attention-Driven Imitation in Consumer Reviews
Charles Alba, Lukasz Walasek, and Mikhail S. Spektor - Recommender Systems: Friend (of Choice) or Foe? A Large-Scale Field Experiment in Online Shopping Platforms
Nurit Nobel - From DDMs to DNNs: Using Process Data and Models of Decision Making to Improve Human–AI Interactions
Mrugsen Nagsen Gopnarayan, Jaan Aru, and Sebastian Gluth - Doing Artificial Intelligence (AI): Algorithmic Decision Support as a Human Activity
Joachim Meyer - Boosting Human Competences With Interpretable and Explainable Artificial Intelligence
Stefan M. Herzog and Matija Franklin - Dimensions of Disagreement: Divergence and Misalignment in Cognitive Science and Artificial Intelligence
Kerem Oktar, Ilia Sucholutsky, Tania Lombrozo, and Thomas L. Griffiths - Possibilities for Decision Science in the Metaverse
Mandeep K. Dhami and Ying Zhu - Cognitive Graphs: Representational Substrates for Planning
Jungsun Yoo, Elizabeth R. Chrastil, and Aaron M. Bornstein - Why Context Should Matter
Rahul Bhui and Rachit Dubey - Verbal Reports as Data Revisited: Using Natural Language Models to Validate Cognitive Models
Tehilla Ostrovsky and Ben R. Newell - Using Artificial Intelligence to Fit, Compare, Evaluate, and Discover Computational Models of Decision Behavior
Peter D. Kvam, Konstantina Sokratous, Anderson Fitch, and Arend Hintze - Machine Learning for Modeling Human Decisions
Daniel Reichman, Joshua C. Peterson, and Thomas L. Griffiths - Using Machine Learning to Evaluate and Enhance Models of Probabilistic Inference
Andreas Glöckner, Marc Jekel, and Daria Lisovoj - Using Machine Learning to Create an Adaptable, Scalable, and Interpretable Behavioral Model
Vered Shoshan, Tamir Hazan, and Ori Plonsky - Combining the Aggregated Forecasts: An Efficient Method for Improving Accuracy by Stacking Multiple Weighting Models
Shu Huang, Russell Golman, and Stephen B. Broomell - Decisions as Ill-Posed Problems: A Scoping Review of Regularization Methods in Decision Science
Janina A. Hoffmann - A Psychologically Informed Approach to “Actuarial” Decision Making
Almog Simchon and Michael Gilead
