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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.
With an increasing number of applications in the context of
multi-agent systems, automated negotiation is a rapidly growing
area. Written by top researchers in the field, this
state-of-the-art treatment of the subject explores key issues
involved in the design of negotiating agents, covering strategic,
heuristic, and axiomatic approaches. The authors discuss the
potential benefits of automated negotiation as well as the unique
challenges it poses for computer scientists and for researchers in
artificial intelligence. They also consider possible applications
and give readers a feel for the types of domains where automated
negotiation is already being deployed. This book is ideal for
graduate students and researchers in computer science who are
interested in multi-agent systems. It will also appeal to
negotiation researchers from disciplines such as management and
business studies, psychology and economics.
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