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.

Examines the diagnostic process to question how we understand autism as a category and to better recognize its intelligence and uncommon sense. As autism has become a widely prevalent diagnosis, we have grown increasingly desperate to understand it. Whether by placing baseless blame on vaccinations or seeking a genetic cause, Americans have struggled to understand what autism is and where it comes from. In Autistic Intelligence, Douglas Maynard and Jason Turowetz focus on a different origin of autism: the diagnostic process. By looking at how autism is diagnosed, they ask us to question the norms we use to measure autistic behavior against, why we understand autistic behavior as disordered, and how we go about assigning that disorder to particular people. To do so, the authors take a close look at a clinic in which children are assessed for and diagnosed with autism. Their research draws on hours observing assessment evaluations among psychologists, pediatricians, parents, and children in order to make plain the systems, language, and categories that clinicians rely upon when making their assessments. Those diagnostic tools determine the kind of information doctors can gather about children, and indeed, those assessments affect how children act. Autistic Intelligence shows that autism is not a stable category, but the result of an interpretive act, and in the process of diagnosing children with autism, we often miss all of the unique contributions they make to the world around them.

Questioning everything we know about the childhood predictors of adult greatness, a cognitive psychologist, who was told as a child that he wasn't smart enough to graduate from high school, explores the latest research to uncover the truth about human potential.

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.

President Truman shuttered the Office of Strategic Services (OSS) as an unneeded, wartime-only special operations/quasi-intelligence agency. The State Department, the Navy, and the War Department quickly recognized that a secret information vacuum loomed and urged the creation of something to replace OSS. These previously declassified and released documents present the thoughtful albeit tortuous and contentious creation of CIA, culminating in the National Security Act of 1947. The declassified historic material dissects the twists and turns and displays the considerable political and legal finesse required to assess the many plans, suggestions, maneuvers and actions that ultimately led to the establishment of the Central Intelligence Agency and other national security entities, which included the incorporation of special safeguards to protect civil liberties. Copies of selected intelligence documents and a timeline of miliestones in the creation of the US Intelligence Community from 1941 through 1964 are included in this resource.

The 'Flynn effect' refers to the massive increase in IQ test scores over the course of the twentieth century. Does it mean that each generation is more intelligent than the last? Does it suggest how each of us can enhance our own intelligence? Professor Flynn is finally ready to give his own views. He asks what intelligence really is and gives a surprising and illuminating answer. This expanded paperback edition includes three important new essays. The first contrasts the art of writing cognitive history with the science of measuring intelligence and reports data. The second outlines how we might get a complete theory of intelligence, and the third details Flynn's reservations about Gardner's theory of multiple intelligences. A fascinating book that bridges the gulf separating our minds from those of our ancestors a century ago, and makes an important contribution to our understanding of human intelligence.

This practical guide draws on cognitive science and work with Fortune 500 companies to help readers develop essential collaborative skills. Collaborative intelligence is a measure of our ability to think with others on behalf of what matters to us all. It is emerging as a new professional currency at a time when influence is more important than power, and success relies on the ability to inspire. Through a series of practices and strategies, this book helps us develop our own collaborative intelligence. The authors teach us how to value intellectual diversity and recognize our own mind patterns. By mapping the talents of our teams, we’re able to embark together on an aligned course of action and influence. Collaborative Intelligence is the culmination of more than fifty years of original research that draws on Dawna Markova’s background in cognitive neuroscience and her most recent work, with Angie McArthur, as a “Professional Thinking Partner” to some of the world’s top CEOs and creative professionals. In their experience, managers who appreciate intellectual diversity will lead their teams to innovation; employees who understand it will thrive because they are in touch with their strengths; and an entire team who understands it will come together to do their best work in a symphony of collaboration.

The intelligence failures exposed by the events of 9/11 and the missing weapons of mass destruction in Iraq have made one thing perfectly clear: change is needed in how the U.S. intelligence community operates. Transforming U.S. Intelligence argues that transforming intelligence requires as much a look to the future as to the past and a focus more on the art and practice of intelligence rather than on its bureaucratic arrangements. In fact, while the recent restructuring, including the creation of the Department of Homeland Security, may solve some problems, it has also created new ones. The authors of this volume agree that transforming policies and practices will be the most effective way to tackle future challenges facing the nation's security. This volume's contributors, who have served in intelligence agencies, the Departments of State or Defense, and the staffs of congressional oversight committees, bring their experience as insiders to bear in thoughtful and thought-provoking essays that address what such an overhaul of the system will require. In the first section, contributors discuss twenty-first-century security challenges and how the intelligence community can successfully defend U.S. national interests. The second section focuses on new technologies and modified policies that can increase the effectiveness of intelligence gathering and analysis. Finally, contributors consider management procedures that ensure the implementation of enhanced capabilities in practice. Transforming U.S. Intelligence supports the mandate of the new director of national intelligence by offering both careful analysis of existing strengths and weaknesses in U.S. intelligence and specific recommendations on how to fix its problems without harming its strengths. These recommendations, based on intimate knowledge of the way U.S. intelligence actually works, include suggestions for the creative mixing of technologies with new missions to bring about the transformation of U.S. intelligence without incurring unnecessary harm or expense. The goal is the creation of an intelligence community that can rapidly respond to developments in international politics, such as the emergence of nimble terrorist networks while reconciling national security requirements with the rights and liberties of American citizens.

Mark M. Lowenthal’s trusted guide is the go-to resource for understanding how the intelligence community’s history, structure, procedures, and functions affect policy decisions. In this Seventh Edition, Lowenthal examines cyber space and the issues it presents to the intelligence community such as defining cyber as a new collection discipline; the implications of the Senate Intelligence Committee’s staff report on enhanced interrogation techniques; the rise of the Islamic State; and the issues surrounding the nuclear agreement with Iran. New sections have been added offering a brief summary of the major laws governing U.S. intelligence today such as domestic intelligence collection, whistleblowers vs. leakers, and the growing field of financial intelligence.