The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.

Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called "intelligent" machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.

A collection of fourteen essays which provide an overview of the argument for intelligent design, with diagrams, explanations, and relevant quotations.

In the Handbook of Understanding and Measuring Intelligence distinguished scholars Oliver Wilhelm and Randall W. Engle have assembled a group of respected experts from two fields of intelligence research--cognition and methods--to summarize, review, and evaluate research in their areas of expertise. Each chapter presents the state-of-the-art in a particular domain of intelligence research, illustrating and highlighting important methodological considerations, theoretical claims, and pervasive problems in the field.

From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

This book critically analyses the concept of the intelligence cycle, highlighting the nature and extent of its limitations and proposing alternative ways of conceptualising the intelligence process. The concept of the intelligence cycle has been central to the study of intelligence. As Intelligence Studies has established itself as a distinctive branch of Political Science, it has generated its own foundational literature, within which the intelligence cycle has constituted a vital thread - one running through all social-science approaches to the study of intelligence and constituting a staple of professional training courses. However, there is a growing acceptance that the concept neither accurately reflects the intelligence process nor accommodates important elements of it, such as covert action, counter-intelligence and oversight. Bringing together key authors in the field, the book considers these questions across a number of contexts: in relation to intelligence as a general concept, military intelligence, corporate/private sector intelligence and policing and criminal intelligence. A number of the contributions also go beyond discussion of the limitations of the cycle concept to propose alternative conceptualisations of the intelligence process. What emerges is a plurality of approaches that seek to advance the debate and, as a consequence, Intelligence Studies itself. This book will be of great interest to students of intelligence studies, strategic studies, criminology and policing, security studies and IR in general, as well as to practitioners in the field.

Drawn from the pages of Scientific American and collected here for the first time, this work contains updated and condensed information, made accessible to a general popular science audience, on the subject of artificial intelligence.