"Computational Models of Mixed-Initiative Interaction" is a scholarly book that explores the role of mixed-initiative interactions in the design of intelligent systems. It brings together research from various disciplines of artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-supported learning. The ten contributions in this book address the central question of how to manage the control of an interaction when problem-solving capabilities are distributed among cooperating agents. The challenge of managing control over interactions between humans and computers to gather and compile knowledge and expertise is crucial for the development of machines that can effectively collaborate with people. This book is the first collection to specifically engage with this topic.