This handbook investigates the challenges and methodologies of representing and reasoning about time within artificial intelligence systems. It draws upon the expertise of leading researchers to explore various temporal formalisms, including interval-based and point-based approaches, and their applications in areas such as planning, diagnosis, and natural language understanding. The work aims to provide a comprehensive overview of the state-of-the-art in temporal reasoning, highlighting both theoretical foundations and practical considerations for building intelligent agents.

This handbook is recognized as a significant compilation of research in temporal reasoning for artificial intelligence. It is structured to serve as a valuable resource for both researchers and practitioners in the field. The collection of chapters, authored by experts, offers a broad perspective on the complexities and advancements in temporal logic and its AI applications. The work is expected to be a foundational text for understanding the current landscape and future directions of temporal reasoning in intelligent systems.