The first book to provide an integrative presentation of the issues, challenges and success of designing, building and using agent applications. The chapters presented are written by internationally leading authorities in the field, with a general audience in mind. The result is a unique overview of agent technology applications, ranging from an introduction to the technical foundations to reports on dealing with specific agent systems in practice.

Human Cognition and Social Agent Technology is written for readers who are curious about what human (social) cognition is, and whether and how advanced software programs or robots can become social agents. Topics addressed in 16 peer-reviewed chapters by researchers at the forefront of agent research include: Narrative intelligence and implementations of story-telling systems, socially situated avatars and ‘conscious’ software agents, cognitive architectures for socially intelligent agents, agents with emotions, design issues for interactive systems, artificial life agents, contributions to agent design from artistic practice, and a Cognitive Technology view on living with socially intelligent agents. The book addresses both software and robotic agents. On the one hand justice is done to the scientific and technical aspects, and on the other hand the reader will learn about pioneering technological developments which are necessary for a public discourse and critical evaluation on where social agent technology is leading us and how such a development can be shaped in order to meet the social, cultural and cognitive needs of humans. The book is suitable for students, researchers, and everyone interested in this emerging and quickly growing field, it does not require any specialist background knowledge. (Series B)

"This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems"--Provided by publisher.

Mark d'Inverno and Michael Luck present a formal approach to dealing with agents and agent systems in this second edition of Understanding Agent Systems. The Z specification language is used to establish an accessible and unified formal account of agent systems and inter-agent relationships. In particular, the framework provides precise and unambiguous meanings for common concepts and terms for agent systems, allows for the description of alternative agent models and architectures, and serves as a foundation for subsequent development of increasingly refined agent concepts. The practicability of this approach is verified by applying the formal framework to three detailed case studies. The book will appeal equally to researchers, students, and professionals in industry.

Multi-agent systems are one of the most exciting research areas in Artificial Intelligence. This book reports on the results achieved in this area, discusses the benefits (and drawbacks) that agent-based systems may bring to medical domains and society, and also provides a list of the research topics that should be tackled in the near future to make the deployment of health-care agent-based systems a reality. Current topics of research include communication and co-operation between distributed intelligent agents to manage patient care.

This volume contains a collection of papers that provides a unique, novel and up-to-date overview of how software agents technology is being applied in very diverse problems in health care, ranging from community care to management of organ transplants. It also provides an introductory survey that highlights the main issues to be taken into account when deploying agents in the health care area. The intended audience includes graduate and postgraduate students specializing in artificial intelligence and researchers interested in the application of new technologies.

This book is a collection of high quality technical papers contributed by active researchers and leading practitioners in intelligent agent technology. It offers a closer look at the state-of-the-art in the development of intelligent agents, and examines in depth the underlying logical, cognitive, physical, and biological foundations as well as the performance characteristics of various approaches in intelligent agent technology. It will stimulate the development of new models, new methodologies, and new tools for building a variety of embodiments of agent-based systems.