Predicting Human Decision-Making

Predicting Human Decision-Making
Author :
Publisher : Springer Nature
Total Pages : 144
Release :
ISBN-10 : 9783031015786
ISBN-13 : 3031015789
Rating : 4/5 (789 Downloads)

Book Synopsis Predicting Human Decision-Making by : Ariel Rosenfeld

Download or read book Predicting Human Decision-Making written by Ariel Rosenfeld and published by Springer Nature. This book was released on 2022-05-31 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.


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