On the Construction of Artificial Brains
On the Construction of Artificial Brains

Author: Ulrich Ramacher

Publisher: Springer Science & Business Media

Published: 2010-04-03

Total Pages: 357

ISBN-13: 3642001890

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This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a feature pyramid with 8 orientations and 5 resolution levels for 1000 objects and networks for binding of features into objects. This vision system can recognize objects robustly in the presence of changes in illumination, deformation, distance and pose (as long as object components remain visible). The neuro-synaptic network owes its functional power to the introduction of rapidly modifiable dynamic synapses. These give a network greater pattern recognition capabilities than are achievable with fixed connections. The spatio-temporal correlation structure of patterns is captured by a single synaptic differential equation in a universal way. The correlation can appear as synchronous neural firing, which signals the presence of a feature in a robust way, or binds features into objects. Although in this book we can present only a first generation artificial brain and believe many more generations will have to follow to reach the full power of the human brain, we nevertheless see a new era of computation on the horizon. There were times when computers, with their precision, reliability and blinding speed, were considered to be as superior to the wet matter of our brain as a jet plane is to a sparrow. These times seem to be over, given the fact that digital systems inspired by formal logic and controlled algorithmically - today's computers - are hitting a complexity crisis. A paradigm change is in the air: from the externally organised to the self-organised computer, of which the results described in this book may give an inkling.

On the Construction of Artificial Brains
On the Construction of Artificial Brains

Author: Ulrich Ramacher

Publisher: Springer

Published: 2016-04-01

Total Pages: 368

ISBN-13: 9783662501979

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This well structured, interdisciplinary and introductory book on artificial brains presents the neurocomputer of the second generation. It uses experiment, theory and implementation in a balanced new way to construct artificial brains.

Artificial Brains
Artificial Brains

Author: Hugo De Garis

Publisher: World Scientific Publishing Company

Published: 2011-09-01

Total Pages: 400

ISBN-13: 9789814304283

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This book explains how the author is building China's first artificial brain, using an evolved neural net module approach. These modules are evolved in special hardware very fast, each with its own little job. They are downloaded one by one into the memory of a supercomputer, and connected up according to the designs of human "BAs" (Brain Architects) to build artificial brains, which then control the hundreds of robots behaviors. These artificial brains contain thousands of pattern recognition circuits. This approach is expected to produce artificial brains with several 10,000s of evolved neural net modules. The robots will also be given language abilties for conversing with humans. Artificial brains could possibly be the missing piece of the puzzle that will make home robots more genuinely intelligent and useful. It is hence likely that by 2030, artificial brains will be one of the biggest industries in the world.

Artificial Brains
Artificial Brains

Author: Hugo De Garis

Publisher: World Scientific Publishing Company

Published: 2011-07

Total Pages: 400

ISBN-13: 9789814304276

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This book explains how the author is building China's first artificial brain, using an evolved neural net module approach. These modules are evolved in special hardware very fast, each with its own little job. They are downloaded one by one into the memory of a supercomputer, and connected up according to the designs of human "BAs" (Brain Architects) to build artificial brains, which then control the hundreds of robots behaviors. These artificial brains contain thousands of pattern recognition circuits. This approach is expected to produce artificial brains with several 10,000s of evolved neural net modules. The robots will also be given language abilties for conversing with humans. Artificial brains could possibly be the missing piece of the puzzle that will make home robots more genuinely intelligent and useful. It is hence likely that by 2030, artificial brains will be one of the biggest industries in the world.

How to Build a Mind
How to Build a Mind

Author: Igor Aleksander

Publisher: Columbia University Press

Published: 2001

Total Pages: 230

ISBN-13: 9780231120128

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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. How to Build a Mind also examines the presentation of "self" in robots, the learning of language, and the nature of emotion, will, instinct, and feelings.

Nanobrain
Nanobrain

Author: Anirban Bandyopadhyay

Publisher: CRC Press

Published: 2020-04-03

Total Pages: 372

ISBN-13: 1439875510

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Making an artificial brain is not a part of artificial intelligence. It will be a revolutionary journey of mankind exploring a science where one cannot write an equation, a material will vibrate like geometric shape, and then those shapes will change to make decisions. Geometry of silence plays like a musical instrument to mimic a human brain; our thoughts, imagination, everything would be a 3D shape playing as music; composing music would be the brain’s singular job. For a century, the Turing machine ruled human civilization; it was believed that irrespective of complexity all events add up linearly. This book is a thesis to explore the science of decision-making where events are 3D-geometric shapes, events grow within and above, never side by side. ​ The book documents inventions and discoveries in neuroscience, computer science, materials science, mathematics and chemistry that explore the possibility of brain or universe as a time crystal. The philosophy of Turing, the philosophy of membrane-based neuroscience and the philosophy of linear, sequential thought process are challenged here by considering that a nested time crystal encompasses the entire conscious universe. Instead of an algorithm, the pattern of maximum free will is generated mathematically and that very pattern is encoded in materials such that its natural vibration integrates random events exactly similar to the way nature does it in every remote corner of our universe. Find how an artificial brain avoids any necessity for algorithm or programming using the pattern of free will.

Designing Intelligence
Designing Intelligence

Author: Rolf Pfeifer

Publisher: GRIN Verlag

Published: 2011

Total Pages: 113

ISBN-13: 3640812212

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Anthology from the year 2011 in the subject Sociology - Knowledge and Information, language: English, abstract: This is a book about embodiment -- the idea that intelligence requires a body -- and how having a body shapes the way we think. The idea that the body is required for intelligence has been around since nearly three decades ago, but an awful lot has changed since then. Research labs and leading technology companies around the world have produced a host of sometimes science fiction-like creations: unbelievably realistic humanoids, robot musicians, wearable technology, robots controlled by biological brains, robots that can walk without a brain, real-life cyborgs, robots in homes for the elderly, robots that literally put themselves together, and artificial cells grown automatically. This new breed of technology is the direct result of the embodied approach to intelligence. Along the way, many of the initially vague ideas have been elaborated and the arguments sharpened, and are beginning to form into a coherent structure. This popular science book, aimed at a broad audience, provides a clear and up to date overview of the progress being made. At the heart of the book are a set of abstract design principles that can be applied in designing intelligent systems of any kind: in short, a theory of intelligence. But science and technology are no longer isolated fields: they closely interact with the corporate, political, and social aspects of our society -- so this book not only provides a novel perspective on artificial intelligence, but also aims to change how we view ourselves and the world around us. Credits: Front Cover Design by Hakam El Essawy Featuring the humanoid robot 'EDS' Photo: Patrick Knab Robot construction: The Robot Studio (TRS) ECCE Robot project: EU's 7th Framework Programme, ICT Challenge2, 'Cognitive Systems and Robotics' Motors: maxon motor, Switzerland Know-How Partner: Starmind.com

Natural and Artificial Intelligence
Natural and Artificial Intelligence

Author: A. de Callataÿ

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 695

ISBN-13: 1483297810

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How does the mind work? How is data stored in the brain? How does the mental world connect with the physical world? The hybrid system developed in this book shows a radically new view on the brain. Briefly, in this model memory remains permanent by changing the homeostasis rebuilding the neuronal organelles. These transformations are approximately abstracted as all-or-none operations. Thus the computer-like neural systems become plausible biological models. This illustrated book shows how artificial animals with such brains learn invariant methods of behavior control from their repeated actions. These robots can make decisions in any circumstances and reason by analogy whenever possible.This new and expanded edition includes a prologue exploring the problems which have stopped the development of fully fledged brain models. The causes of these deadlocks are listed as potential misconceptions about brain principles, neural networks, nervous systems, robotics, programming and decision logic.