In the first approximation, decision making is nothing else but an optimization problem: We want to select the best alternative. This description, however, is n
This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, th
This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to
This book is designed to help readers analyze, make economic tradeoffs and choose wisely in complex decision problems where uncertainty, for all practical purpo