This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

The main topic of the book is a reconstruction of the evolution of nervous systems and brains as well as of mental-cognitive abilities, in short “intelligence” from simplest organisms to humans. It investigates to which extent the two are correlated. One central topic is the alleged uniqueness of the human brain and human intelligence and mind. It is discussed which neural features make certain animals and humans intelligent and creative: Is it absolute or relative brain size or the size of “intelligence centers” inside the brains, the number of nerve cells inside the brain in total or in such “intelligence centers” decisive for the degree of intelligence, of mind and eventually consciousness? And which are the driving forces behind these processes? Finally, it is asked what all this means for the classical problem of mind-brain relationship and for a naturalistic theory of mind.

This engagingly written introduction to the cognitive sciences examines the historical and contemporary issues and research findings of the core cognitive science disciplines, including cognitive psychology, neuroscience, language, philosophy, and artificial intelligence. For each of the core disciplines of cognitive science, the historical development and classic research studies are presented in one chapter and current research development and issues follow in a second chapter. The student is given insight into the way each discipline has contributed to the growth of cognitive science and what directions research is taking in the future. This text assumes no background on the part of the reader.

The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. Cognitive science is the project of understanding the mind by modeling its workings. Psychology is its heart, but it draws together various adjoining fields of research, including artificial intelligence; neuroscientific study of the brain; philosophical investigation of mind, language, logic, and understanding; computational work on logic and reasoning; linguistic research on grammar, semantics, and communication; and anthropological explorations of human similarities and differences. Each discipline, in its own way, asks what the mind is, what it does, how it works, how it developed - how it is even possible. The key distinguishing characteristic of cognitive science, Boden suggests, compared with older ways of thinking about the mind, is the notion of understanding the mind as a kind of machine. She traces the origins of cognitive science back to Descartes's revolutionary ideas, and follows the story through the eighteenth and nineteenth centuries, when the pioneers of psychology and computing appear. Then she guides the reader through the complex interlinked paths along which the study of the mind developed in the twentieth century. Cognitive science, in Boden's broad conception, covers a wide range of aspects of mind: not just 'cognition' in the sense of knowledge or reasoning, but emotion, personality, social communication, and even action. In each area of investigation, Boden introduces the key ideas and the people who developed them. No one else could tell this story as Boden can: she has been an active participant in cognitive science since the 1960s, and has known many of the key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story at first hand. Her history looks forward as well as back: it is her conviction that cognitive science today--and tomorrow--cannot be properly understood without a historical perspective. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, who wants to know how our understanding of our mental activities and capacities has developed.

An interdisciplinary team of scientists is presenting a new paradigm: all existing structures on earth are the consequence of information processing. Since these structures have been evolved over the last five billion years, information processing and its systems have an evolution.This is under consideration in the book. Starting with a basic paper which summarizes the essential hypotheses about the evolution of informaion processing systems, sixteen international scientists have tried to verify or falsify these hypothesises. This has been done at the physical, the chemical, the genetic, the neural, the social, the societal and the socio-technical level. Thus, the reader gets an insight into the recent status of research on the evolution of information processing systems. The papers are the result of an interdisciplinary project in which scientists of the classical disciplines have been invited to collaborate. Their inputs have been intensively discussed in a workshop. The book is the output of the workshop. The first goal of the bookis to give the reader an insight into basic principles about the evolution of information processing systems. This, however, leads directly to a very old and essential question: who is controlling the world, "matter" or an "immaterial intelligence"? Several authors of the papers are arguing that there is a basic concept of information processing in nature. This is the crucial process, which, however, needs a material basis. The reader has a chance to understand this paradigm as an approach which is valid for all levels of inorganic, organic and societal structures. This provocative concept is open to debate.

"As someone who has spent forty years in psychology with a long-standing interest in evolution, I'll just assimilate Howard Bloom's accomplishment and my amazement."-DAVID SMILLIE, Visiting Professor of Zoology, Duke University In this extraordinary follow-up to the critically acclaimed The Lucifer Principle, Howard Bloom-one of today's preeminent thinkers-offers us a bold rewrite of the evolutionary saga. He shows how plants and animals (including humans) have evolved together as components of a worldwide learning machine. He describes the network of life on Earth as one that is, in fact, a "complex adaptive system," a global brain in which each of us plays a sometimes conscious, sometimes unknowing role. and he reveals that the World Wide Web is just the latest step in the development of this brain. These are theories as important as they are radical. Informed by twenty years of interdisciplinary research, Bloom takes us on a spellbinding journey back to the big bang to let us see how its fires forged primordial sociality. As he brings us back via surprising routes, we see how our earliest bacterial ancestors built multitrillion-member research and development teams a full 3.5 billion years ago. We watch him unravel the previously unrecognized strands of interconnectedness woven by crowds of trilobites, hunting packs of dinosaurs, feathered flying lizards gathered in flocks, troops of baboons making communal decisions, and adventurous tribes of protohumans spreading across continents but still linked by primitive forms of information networking. We soon find ourselves reconsidering our place in the world. Along the way, Bloom offers us exhilarating insights into the strange tricks of body and mind that have organized a variety of life forms: spiny lobsters, which, during the Paleozoic age, participated in communal marching rituals; and bees, which, during the age of dinosaurs, conducted collective brainwork. This fascinating tour continues on to the sometimes brutal subculture wars that have spurred the growth of human civilization since the Stone Age. Bloom shows us how culture shapes our infant brains, immersing us in a matrix of truth and mass delusion that we think of as reality. Global Brain is more than just a brilliantly original contribution to the ongoing debate on the inner workings of evolution. It is a "grand vision," says the eminent evolutionary biologist David Sloan Wilson, a work that transforms our very view of who we are and why.

How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?