Brain Inspired Cognitive Systems 2008 (June 24-27, 2008; S o Lu s, Brazil) brought together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence.

This book includes the papers presented at four major symposia:

Part I - Cognitive Neuroscience

Part II - Biologically Inspired Systems

Part III - Neural Computation

Part IV - Models of Consciousness.

Brain Inspired Cognitive Systems - BICS 2010 aims to bring together leading scientists and engineers who use analytic and synthetic methods both to understand the astonishing processing properties of biological systems and specifically of the brain, and to exploit such knowledge to advance engineering methods to build artificial systems with higher levels of cognitive competence.

BICS is a meeting point of brain scientists and cognitive systems engineers where cross-domain ideas are fostered in the hope of getting emerging insights on the nature, operation and extractable capabilities of brains. This multiple approach is necessary because the progressively more accurate data about the brain is producing a growing need of a quantitative understanding and an associated capacity to manipulate this data and translate it into engineering applications rooted in sound theories.

BICS 2010 is intended for both researchers that aim to build brain inspired systems with higher cognitive competences, and for life scientists who use and develop mathematical and engineering approaches for a better understanding of complex biological systems like the brain.

Four major interlaced focal symposia are planned for this conference and these are organized into patterns that encourage cross-fertilization across the symposia topics. This emphasizes the role of BICS as a major meeting point for researchers and practitioners in the areas of biological and artificial cognitive systems. Debates across disciplines will enrich researchers with complementary perspectives from diverse scientific fields.

BICS 2010 will take place July 14-16, 2010, in Madrid, Spain.

Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness. It takes the view that the neurons in our heads are the source of consciousness and attempts to explain how this happens. Although it talks of neural networks, it explains what they are and what they do in such a way that anyone may understand. While the topic is partly philosophical, the text makes no assumptions of prior knowledge of philosophy; and so contains easy excursions into the important ideas of philosophy that may be missing in the education of a computer scientist. The approach is pragmatic throughout; there are many references to material on experiments that were done in our laboratories.The first edition of the book was written to introduce curious readers to the way that the consciousness we all enjoy might depend on the networks of neurons that make up the brain. In this second edition, it is recognized that these arguments still stand, but that they have been taken much further by an increasing number of researchers. A post-script has now been written for each chapter to inform the reader of these developments and provide an up-to-date bibliography. A new epilogue has been written to summarize the state-of-the art of the search for consciousness in neural automata, for researchers in computation, students of philosophy, and anyone who is fascinated by what is one of the most engaging scientific endeavours of the day.This book also tells a story. A story of a land where people think that they are automata without much in the way of consciousness, a story of cormorants and cliffs by the sea, a story of what it might be like to be a conscious machine ...

Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness. It takes the view that the neurons in our heads are the source of consciousness and attempts to explain how this happens. Although it talks of neural networks, it explains what they are and what they do in such a way that anyone may understand. While the topic is partly philosophical, the text makes no assumptions of prior knowledge of philosophy; and so contains easy excursions into the important ideas of philosophy that may be missing in the education of a computer scientist. The approach is pragmatic throughout; there are many references to material on experiments that were done in our laboratories.The first edition of the book was written to introduce curious readers to the way that the consciousness we all enjoy might depend on the networks of neurons that make up the brain. In this second edition, it is recognized that these arguments still stand, but that they have been taken much further by an increasing number of researchers. A post-script has now been written for each chapter to inform the reader of these developments and provide an up-to-date bibliography. A new epilogue has been written to summarize the state-of-the art of the search for consciousness in neural automata, for researchers in computation, students of philosophy, and anyone who is fascinated by what is one of the most engaging scientific endeavours of the day.This book also tells a story. A story of a land where people think that they are automata without much in the way of consciousness, a story of cormorants and cliffs by the sea, a story of what it might be like to be a conscious machine ...

Aristotle's convincing philosophy is likely to have shaped (even indirectly) many of our current beliefs, prejudices and attitudes to life. This includes the way in which our mind (that is, our capacity to have private thoughts) appears to elude a scientific description. This book is about a scientific ingredient that was not available to Aristotle: the science of information. Would the course of the philosophy of the mind have been different had Aristotle pronounced that the matter of mind was information? This "mind is information" assertion is often heard in contemporary debates, and this book explores the verities and falsehoods of this proposition.

Brain Inspired Cognitive Systems - BICS 2010 aims to bring together leading scientists and engineers who use analytic and synthetic methods both to understand the astonishing processing properties of biological systems and specifically of the brain, and to exploit such knowledge to advance engineering methods to build artificial systems with higher levels of cognitive competence. BICS is a meeting point of brain scientists and cognitive systems engineers where cross-domain ideas are fostered in the hope of getting emerging insights on the nature, operation and extractable capabilities of brains. This multiple approach is necessary because the progressively more accurate data about the brain is producing a growing need of a quantitative understanding and an associated capacity to manipulate this data and translate it into engineering applications rooted in sound theories. BICS 2010 is intended for both researchers that aim to build brain inspired systems with higher cognitive competences, and for life scientists who use and develop mathematical and engineering approaches for a better understanding of complex biological systems like the brain. Four major interlaced focal symposia are planned for this conference and these are organized into patterns that encourage cross-fertilization across the symposia topics. This emphasizes the role of BICS as a major meeting point for researchers and practitioners in the areas of biological and artificial cognitive systems. Debates across disciplines will enrich researchers with complementary perspectives from diverse scientific fields. BICS 2010 will take place July 14-16, 2010, in Madrid, Spain.

I. ALEKSANDER Kobler Unit for Information Technology Management, Imperial College of Science and Technology, London, England It is now over half a decade since Joseph Engelberger wrote: 'Given a six-articulation arm of any configuration, software can be powerful enough to think only in tool coordinates. That is, a programmer concerns himself only with the tool on the end of the robot arm. He can think of the tool's frame of reference and com puter subroutines automatically make the various articulations move so as to accomplish the desired tool manipulation. ' As is often the case with statements of this kind, they are appealing and generally well-founded in technological feasibility. But in order to turn the prediction into reality it requires the dedication and in ventiveness of an international community of researchers. The object of this book is to provide a window on to some of the advances made by this community which go towards the fulfilment of Engelberger's predictions. A significant factor in the framework within which this work is being pursued is the phenomenal advance in the availability of inex pensive and highly compact computing power. It becomes increas ingly possible to imagine powerful microprocessors providing local intelligence at key points in a robot arm Uoints, gripper, etc) by being connected through a communications network and controlled by some specially designated supervisory microchip."

Brain Inspired Cognitive Systems 2008 (June 24-27, 2008; Sao Luis, Brazil) brought together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence.

This book includes the papers presented at four major symposia:

Part I - Cognitive Neuroscience

Part II - Biologically Inspired Systems

Part III - Neural Computation

Part IV - Models of Consciousness."

Igor Aleksander heads a major British team that has applied engineering principles to the understanding of the human brain and has built several pioneering machines, culminating in MAGNUS, which he calls a machine with imagination. When he asks it (in words) to produce an image of a banana that is blue with red spots, the image appears on the screen in seconds.

The idea of such an apparently imaginative, even conscious machine seems heretical and its advocates are often accused of sensationalism, arrogance, or philosophical ignorance. Part of the problem, according to Aleksander, is that consciousness remains ill-defined.

Interweaving anecdotes from his own life and research with imagined dialogues between historical figures -- including Descartes, Locke, Hume, Kant, Wittgenstein, Francis Crick, and Steven Pinker -- Aleksander leads readers toward an understanding of consciousness. He shows not only how the latest work with artificial neural systems suggests that an artificial form of consciousness is possible but also that its design would clarify many of the puzzles surrounding the murky concept of consciousness itself. The book also looks at the presentation of "self" in robots, the learning of language, and the nature of emotion, will, instinct, and feelings.

Igor Aleksander is Professor Emeritus of Electrical Engineering at Imperial College, London. Well established as a skilled and provocative communicator, he addresses both the general reader and the consciousness studies specialist. Never one to dodge the big questions, Igor Aleksander tackles them head on in this latest book: Is there a 'real world' or is our awareness of one an illusion? Are animals conscious? Can machines be conscious? What is it to be unconscious? Does the 'science of consciousness' impinge on religious thought? How is consciousness affected by mental deterioration? Aleksander's technique is to refine the search for answers by the application of his five 'axioms' concerning consciousness, which he has already derived and set out in earlier work: 1. Being a 'self' in an out-there world; 2. Recalling and imagining being a 'self' in experienced or fictitious worlds; 3. Attending to individually important things; 4. Being able to decide what to do next; 5. Having emotional feelings about things that are happening or being planned.

Igor Aleksander is Professor Emeritus of Electrical Engineering at Imperial College, London. Well established as a skilled and provocative communicator, he addresses both the general reader and the consciousness studies specialist. Never one to dodge the big questions, Igor Aleksander tackles them head on in this latest book: Is there a 'real world' or is our awareness of one an illusion? Are animals conscious? Can machines be conscious? What is it to be unconscious? Does the 'science of consciousness' impinge on religious thought? How is consciousness affected by mental deterioration? Aleksander's technique is to refine the search for answers by the application of his five 'axioms' concerning consciousness, which he has already derived and set out in earlier work: Being a 'self' in an out-there world; Recalling and imagining being a 'self' in experienced or fictitious worlds; Attending to individually important things; Being able to decide what to do next; and having emotional feelings about things that are happening or being planned.

McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cognitive science. While Neural Computing Architectures addresses the same issues, there is little overlap in the research it reports. These 18 contributions provide a timely and informative overview and synopsis of both pioneering and recent European connectionist research. Several chapters focus on cognitive modeling; however, most of the work covered revolves around abstract neural network theory or engineering applications, bringing important complementary perspectives to currently published work in PDP.In four parts, chapters take up neural computing from the classical perspective, including both foundational and current work; the mathematical perspective (of logic, automata theory, and probability theory), presenting less well-known work in which the neuron is modeled as a logic truth function that can be implemented in a direct way as a silicon read only memory. They present new material both in the form of analytical tools and models and as suggestions for implementation in optical form, and summarize the PDP perspective in a single extended chapter covering PDP theory, application, and speculation in US research. Each part is introduced by the editor.