The Mind S Machine

"The Mind's Machine, introduced in 2012, was written to present the interdisciplinary topics of introductory behavioral neuroscience to students from non-science majors, to psychology, life sciences, and neuroscience. This engaging and user-friendly text brings in relevance to students of all backgrounds through coverage of contemporary research, clinical cases and experimental studies, as well as through the use of clear learning objectives and concept checks, and Acrobatiq courseware for adaptive learning integrated with interactive learning tools"--

Bush's Memex has been the prototype of the personal computer, and the first design for a machine to help people think and manage information. Yet, with all its renown, Memex is largely misunderstood. In From Memex to Hypertext, all of Bush's writings about Memex have been collected for the first time. Surrounding Bush's essays are chapters by historians and leading figures in the computer science research community telling the story of how the idea of Memex was developed.

Minds, Brains and Science takes up just the problems that perplex people, and it does what good philosophy always does: it dispels the illusion caused by the specious collision of truths. How do we reconcile common sense and science? John Searle argues vigorously that the truths of common sense and the truths of science are both right and that the only question is how to fit them together. Searle explains how we can reconcile an intuitive view of ourselves as conscious, free, rational agents with a universe that science tells us consists of mindless physical particles. He briskly and lucidly sets out his arguments against the familiar positions in the philosophy of mind, and details the consequences of his ideas for the mind-body problem, artificial intelligence, cognitive science, questions of action and free will, and the philosophy of the social sciences.

National Book Award Finalist: “This man’s ideas may be the most influential, not to say controversial, of the second half of the twentieth century.”—Columbus Dispatch At the heart of this classic, seminal book is Julian Jaynes's still-controversial thesis that human consciousness did not begin far back in animal evolution but instead is a learned process that came about only three thousand years ago and is still developing. The implications of this revolutionary scientific paradigm extend into virtually every aspect of our psychology, our history and culture, our religion—and indeed our future. “Don’t be put off by the academic title of Julian Jaynes’s The Origin of Consciousness in the Breakdown of the Bicameral Mind. Its prose is always lucid and often lyrical…he unfolds his case with the utmost intellectual rigor.”—The New York Times “When Julian Jaynes . . . speculates that until late in the twentieth millennium BC men had no consciousness but were automatically obeying the voices of the gods, we are astounded but compelled to follow this remarkable thesis.”—John Updike, The New Yorker “He is as startling as Freud was in The Interpretation of Dreams, and Jaynes is equally as adept at forcing a new view of known human behavior.”—American Journal of Psychiatry

A new edition of the bestselling classic – published with a special introduction to mark its 10th anniversary This pioneering account sets out to understand the structure of the human brain – the place where mind meets matter. Until recently, the left hemisphere of our brain has been seen as the ‘rational’ side, the superior partner to the right. But is this distinction true? Drawing on a vast body of experimental research, Iain McGilchrist argues while our left brain makes for a wonderful servant, it is a very poor master. As he shows, it is the right side which is the more reliable and insightful. Without it, our world would be mechanistic – stripped of depth, colour and value.

This title provides an introduction to assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological examples. It demonstrates their potential as a powerful tool for guiding experimental inquiry.