Drawing on a number of cutting-edge discoveries from brain research as well as on his own insights as a neuroscientist and neuropsychologist, Goldberg presents a wide-ranging discussion of history, culture, and evolution to arrive at an original understanding of the nature of human creativity. He discusses the origins of language, the nature of several neurological disorders, animal cognition, virtual reality, and even artificial intelligence. Included are his bold predictions about the future directions of creativity and innovation in society, and how they will change the ways the human brain develops and ages

After a series of light logic puzzles, the author presents a bombshell puzzle so startling that it seems incredible that there could be any solution at all! But there is indeed a solution - moreover, one that requires a chain of lesser puzzles to be solved first. The reader is thus journeyed through a maze of subsidiary problems that has all the earmarks of an entertaining detective story. Of the author's 20 published books, this is the 11th whose purpose is to lead the unwary reader into deep logical waters through seductively entertaining logic puzzles. The "deep waters" of this book is boolean algebra with such weird looking equations as 1+1=0 - a subject which today plays a vital role, not only in mathematical systems, but also in computer science and artificial intelligence.

When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the Al community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field. At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. What Computers Can't Do was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.

Style is a fundamental aspect of the human experience, yet exactly what it is and how it works are elusive. Exploring the issue from a computational viewpoint, this book shows how information is deployed in the production and perception of different styles.

In the High Bay at the Robotics Institute at Carnegie Mellon, Segways scoot across the floor chasing soccer balls while other robots hunt for treasure. Nursebots, developed to care for hospital patients, mingle with a robotic Lara Croft look-alike. Lee Gutkind immersed himself in this frenzied subculture and, in Almost Human, introduces us to Zoë, Groundhog, Grace, and Sandstorm -- robots designed to help, or in some cases replace, humans -- as well as to the colorful cast of researchers attempting to create language to talk not only to machines but also to one another across their disciplines. - from publisher description

In this, the third collection of answers to the annual www.edge.org question, the world's leading scientists and thinkers tell us what they are optimistic about, and why. Artificial intelligence, space travel, technological and medical advances, long-term trends in all manner of fields find their champions in these pages - nearly 150 fascinating and thought-provoking entries from a stellar cast of contributors.

Parsing the Turing Test is a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Will computers and robots ever think and communicate the way humans do? When a computer crosses the threshold into self-consciousness, will it immediately jump into the Internet and create a World Mind? Will intelligent computers someday recognize the rather doubtful intelligence of human beings? Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate these weighty issues – and, in effect, the future of the human race – in this important volume.

great book

Book by Richard E. Bellman

In this monograph, the authors propose a systematic and rigorous treatment of electromagnetic field representations in complex structures. The architecture suggested in this book accommodates use of different numerical methods as well as alternative Green's function representations in each of the subdomains resulting from a partitioning of the overall problem. The subdomains are regions of space where electromagnetic energy is stored and are described in terms of equivalent circuit representations based either on lumped element circuits or on transmission lines. Connection networks connect the subcircuits representing the subdomains. The connection networks are lossless, don't store energy and represent the overall problem topology. This is similar to what is done in circuit theory and permits a phrasing of the solution of EM field problems in complex structures by Network-oriented methods.

Readers learn how daring companies have gone beyond the computerization of now mundane manufacturing and clerical tasks and introduced expert systems that automate human reasoning, judgment, expertise and knowledge in pursuit of greater efficiency and profit.

As Miller writes about his work: "The imperative to contradict creates an absurd void at its centre. As though a function of a miniature neural network, the cast behaves as quasiautomatons. Control is modulated, not absolute. The performers laugh at their instrumentalization, mocking the rules they inevitably obey... Perhaps, as we enter a new era of overarching artificial intelligence, Contradicting Statements might offer a glimpse into a fragile past, still alive with paths not taken."

It is with great pleasure that we are presenting to the community the second edition of this extraordinary handbook. It has been over 15 years since the publication of the first edition and there have been great changes in the landscape of philosophical logic since then. The first edition has proved invaluable to generations of students and researchers in formal philosophy and language, as well as to consumers of logic in many applied areas. The main logic article in the Encyclopaedia Britannica 1999 has described the first edition as 'the best starting point for exploring any of the topics in logic'. We are confident that the second edition will prove to be just as good! The first edition was the second handbook published for the logic commu nity. It followed the North Holland one volume Handbook of Mathematical Logic, published in 1977, edited by the late Jon Barwise. The four volume Handbook of Philosophical Logic, published 1983-1989 came at a fortunate temporal junction at the evolution of logic. This was the time when logic was gaining ground in computer science and artificial intelligence circles. These areas were under increasing commercial pressure to provide devices which help and/or replace the human in his daily activity. This pressure required the use of logic in the modelling of human activity and organisa tion on the one hand and to provide the theoretical basis for the computer program constructs on the other.

Preamble The emergence of machine intelligence during the second half of the twentieth century is the most important development in the evolution of this planet since the origin of life two to three thousand million years ago. The emergence of machine intelligence within the matrix of human society is analogous to the emergence, three billion years ago, of complex, self-replicating molecules within the matrix of an energy-rich molecular soup - the first step in the evolution of life. The emergence of machine intelligence within a human social context has set into motion irreversible processes which will lead to an evolutionary discontinuity. Just as the emergence of "Life" represented a qualitatively different form of organisation of matter and energy, so will pure "Intelligence" represent a qualitatively different form of organisation of matter, energy and life. The emergence of machine intelligence presages the progression of the human species as we know it, into a form which, at present, we would not recognise as "human". As Forsyth and Naylor (1985) have pointed out: "Humanity has opened two Pandora's boxes at the same time, one labelled genetic engineering, the other labelled knowledge engineering. What we have let out is not entirely clear, but it is reasonable to hazard a guess that it contains the seeds of our successors".

As this book makes clear, current use of data structures such as frames, scripts, and stereotypes in psychology, artificial intelligence, and all the other disciplines now grouped together as Cognitive Science develop ideas already explored by Husserl who believed that the analysis of mental representations was the proper subject of philosophy, psychology, and other disciplines that deal with the mind.This new anthology will serve as an ideal introduction to phenomenology for analytic philosophers, both as a text and as the single most useful source book on Husserl for cognitive scientists.Hubert L. Dreyfus is Professor of Philosophy at the University of California at Berkeley. He is author of the best-selling and controversial book, What Computers Can't Do. Harrison Hall, who has collaborated with Dreyfus on much of the book, is on the philsophy faculty at the University of Delaware. An MIT Press/Bradford Book.

Logic is now widely recognized to be one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineering and hardware to programming languages and artificial intelligence. There is a growing need for an in-depth survey of the applications in logic in A1 and computer science. The Handbook of Logic in Ariticial Intelligence and Logic Programming and its companion, the Handbook of Logic in Computer Science, have been created in response to this need. We see the creation of the Handbook as a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. The intended audience is graduate students and researchers in the areas of A1 and logic, as well as other people interested in the subject. We assume as background some mathematical sophistication. Much of the material will be of interest to logicians and mathematicians. The tables of contents of the volumes were finalized after extensive discussions between handbook authors and second readers. The first volumes present the logical foundations and deduction methodologies extensively used in A1. Volumes 3 and 4 cover reasoning, and Volume 5 details logic programming. The chapters which in many cases are of monograph length and scope, emphasize possible unifying themes. They are written by internationally renowned researchers in the respective areas. The chapters are co-ordinated and their contents have been reviewed in joint meetings.