(Paperback)

(Paperback)

(Hardback)

Among the questions explored are whether machines can engage in purposive behavior, what the relationship is between causal and purposive explanations of behavior, whether machines are capable of human error, and whether they can perform activities and functions such as natural language understanding and dealing with contexts.

(Paperback)

AI can be all too human: quick to judge, capable of error, vulnerable to bias. It's made by humans after all. Made by Humans explores our role in automation and the responsibilities we must take on. Roaming from Australia to the UK and the US, this is a personal, thought-provoking examination of humans as data and humans as the designers of systems that try to understand us.

(Hardback)

This title introduces the concepts of knowledge management and its significance. It shows that the incorporation of artificial intelligence computer-based techniques into business settings can provide truly significant gains in productivity.

(Paperback, second edition)

(Hardback)

(Paperback)

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.

(Paperback)

(Hardback)

provides good answers to the expectations it title raisesthe book provides far more than just an approach for processing two tropes: the whole methods gives a way to distinguish diifferent tropes and literal language, to process meaning representations, and to resolve lexical ambiguity. Computational Linguistics

(Paperback)

Presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field.

(Paperback)

(Paperback)

Provides a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory.

(Hardback)

Wagman offers a critical analysis of current theory and research in the psychological and computational sciences, directed toward the elucidation of scientific discovery processes and structures. It discusses human scientific discovery processes, analyzes computer scientific discovery processes, and makes a comparative evaluation of the two.

(Paperback)

(Paperback)

In this collection of interviews, those who helped to shape the field share their childhood memories, their influences, how they became interested in neural networks, and how they envision its future. Together, they tell the story of how science is done, including the false starts and the struggle for jobs, resources, and reputation.

(Paperback)

This reference brings together a variety of theories and technologies that have emerged in a number of fields of application, describing common themes, presenting experiments and hardware embodiments as examples, and discussing the advantages and the drawbacks of this new form of human-machine interaction.

(Hardback)

(Paperback)

In this broad and provocative collection of original essays on artificial intelligence today, eighteen distinguished scholars set out to explain why and how certain discoveries about the human brain have or have not been used by the AI community, and whether the AI endeavor has increased out, understanding of human cognition.

(Hardback)

(Hardback)

It may seem a strange match--AI and crop irrigation or AI and the Serengeti lions but researchers in Artifical Intelligence envision expert systems as a new technology for capturing the knowledge and reasoning process of experts in agriculture, wildlife management, and many other fields.

(Paperback)

How developments in science and technology may enable the emergence of purely digital mindsintelligent machines equal to or greater in power than the human brain.

(Hardback)

(Paperback)