2 results for "Negotiation"

Predicting human decision-making: from prediction to action

Rosenfeld, Ariel,Kraus, Sarit
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.
Morgan & Claypool Publishers 2018 134 pages

Strategic negotiation in multiagent environments

Kraus, Sarit
A model for strategic negotiation for intelligent agents. As computers advance from isolated workstations to linked elements in complex communities of systems and people, cooperation and coordination via intelligent agents become increasingly important. Examples of such communities include the Internet, electronic commerce, health institutions, electricity networks, and digital libraries. Sarit Kraus is concerned here with the cooperation and coordination of intelligent agents that are self-interested and usually owned by different individuals or organizations. Conflicts frequently arise, and negotiation is one of the main mechanisms for reaching agreement. Kraus presents a strategic-negotiation model that enables autonomous agents to reach mutually beneficial agreements efficiently in complex environments. The model, which integrates game theory, economic techniques, and heuristic methods of artificial intelligence, can be automated in computer systems or applied to human situations. The book provides both theoretical and experimental results.
MIT Press 2001 266 pages