Cover
Copyright Page
Title Page
Contents
Preface
Acknowledgments
Introduction
The Premise
Prediction Tasks Taxonomy
Exercises
Utility Maximization Paradigm
Single Decision-MakerโDecision Theory
Decision-Making Under Certainty
Decision-Making Under Uncertainty
Multiple Decision-MakersโGame Theory
Normal Form Games
Extensive Form Games
Are People Rational? A Short Note
Exercises
Predicting Human Decision-Making
Expert-Driven Paradigm
Utility Maximization
Quantal Response
Level-k
Cognitive Hierarchy
Behavioral Sciences
Prospect Theory
Utilizing Expert-Driven Models
Data-Driven Paradigm
Machine Learning: A Human Prediction Perspective
Deep LearningโThe Great Redeemer?
DataโThe Great Barrier?
Additional Aspects in Data Collection
The Data Frontier
Imbalanced Datasets
Levels of Specialization: Who and What to Model
Transfer Learning
Hybrid Approach
Expert-Driven Features in Machine Learning
Additional Techniques For Combining Expert-Driven and Data-Driven Models
Exercises
From Human Prediction to Intelligent Agents
Prediction Models in Agent Design
Security Games
Negotiations
Argumentation
Voting
Automotive Industry
Games That People Play
Exercises
Which Model Should I Use?
Is This a Good Prediction Model?
The Predicting Human Decision-making (PHD) Flow Graph
Ethical Considerations
Exercises
Concluding Remarks
Bibliography
Authorsโ Biographies
Index
