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.
Drawing upon the many disciplines that have contributed to brain research -- anatomy, physiology, clinical neurology, psychology, psychiatry -- the author traces three centuries of ideas about movement and the brain.
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.
Evolution of the Brain and Intelligence covers the general principles of behavior and brain function. The book is divided into four parts encompassing 17 chapters that emphasize the implications of the history of the brain for the evolution of behavior in vertebrates. The introductory chapter covers the studies of animal behavior and their implications about the nature of the animal’s world. The following chapters emphasize methodological issues and the meanings of brain indices and brain size, as well as the general anatomy of the brain. Other chapters discuss the history of the brain in the major vertebrate groups that were known about 300 million years ago to determine the fate of these early vertebrate groups. Discussions on broad trends in evolution and their implications for the evolution of intelligence are also included. Substantive matter on the brains, bodies, and associated mechanisms of behavior of vertebrates are covered in the remaining chapters of the book, with an emphasis on evolution “above the species level . This book is of value to anthropologists, behavioral scientists, zoologists, paleontologists, and neurosciences students.
TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The present volume offers a broad and imaginative approach to the study of the mind, which emphasizes several themes, namely: the importance of functional organization apart from the specific material by means of which it may be implemented; the use of modeling to simulate these functional processes and subject them to certain kinds of tests; the use of mentalistic language to describe and predict the behavior of artifacts; and the subsumption of processes of adaptation, learning, and intelligence by means of explanatory principles. The author has produced a rich and complex, lucid and readable discussion that clarifies and illuminates many of the most difficult problems arising within this difficult domain.
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".
The Cognitive Sciences: An Interdisciplinary Approach, Second Edition offers an engaging, thorough introduction to the cognitive sciences. Authors Carolyn Sobel and Paul Li examine the historical and contemporary issues and research findings of the core cognitive science disciplines: cognitive psychology, neuroscience, artificial intelligence, linguistics, evolutionary psychology, and philosophy. For each of these core disciplines, the historical development and classic research studies are presented in one chapter and current research development and issues follow in a second chapter, offering students a broad understanding of the development of each concentration in the cognitive sciences. The text presents a student-friendly approach to understanding how each discipline has contributed to the growth of cognitive science and the implications for future research. NEW TO THIS EDITION Includes a new chapter on evolutionary psychology, an important emerging field in the cognitive sciences. Offers fully updated research, including subjects such as embodied cognition and extended cognition (philosophy), bilingualism indicating its wide-ranging effects on brain capabilities (linguistics), and current work in neuroplasticity (neuroscience). A new image program helps illustrate new and key concepts in the text. The companion website contains helpful pedagogical features to aid faculty and students. Praise for The Cognitive Sciences, Second Edition “I am impressed with the completeness of the text. I have suffered from some tunnel vision thinking that all cognitive science intros needed to be more thematic. The field approach of this one is a refreshing change.” - Kenneth M. Moorman, Transylvania University “You have a winner. It is well organized, cutting edge, theoretical, and substantive, and easy to read. The stories and contextualization of the material for the reader was the biggest strength of this text.” - Thelon Byrd Jr., Bowie State University “The text is clear, organized, and, overall, very well-written. In fact, it has been a pleasure to read. It should be very accessible to undergrads in an introductory cognitive science course, whether majors or not." - Michael R. Scheessele, Indiana University South Bend
"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.
An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age. We can all learn to learn by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The exciting advancements in artificial intelligence of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities, as well as in everyday life.
