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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Predicting Human Decision-Making: From Prediction to Action

Predicting Human Decision-Making: From Prediction to Action

Rosenfeld, Ariel
Kraus, Sarit

Hardcover

Series: Synthesis Lectures on Artificial Intelligence and Machine Le

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3031000234
ISBN13: 9783031000232
Publisher: Springer
Published: Jan 22 2018
Pages: 134
Weight: 1.06
Height: 0.38 Width: 7.50 Depth: 9.25
Language: English
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 asthe 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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