Predicting Human Decision Making is popular PDF and ePub book, written by Ariel Geib in 2022-05-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Predicting Human Decision Making can be Read Online from any device for your convenience.
Predicting Human Decision Making Book PDF Summary
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.
Detail Book of Predicting Human Decision Making PDF
- Author : Ariel Geib
- Release : 31 May 2022
- Publisher : Springer Nature
- ISBN : 9783031015786
- Genre : Computers
- Total Page : 134 pages
- Language : English
- PDF File Size : 18,7 Mb
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