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Author: Leen Gorissen
Publisher:
ISBN: 9789464007572
Category : Business & Economics
Languages : en
Pages : 196
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Book Description
Despite endless change and disruption, massive upheaval and cosmic collisions, nature has survived the worst of times and thrived in the best of them for 3.8 billion years. She knows what works, what lasts and what contributes to the future of life on Earth. She is the undisputed master of continuous innovation, adaptation and, ultimately, regeneration. What if we humans could tap into the power of the Natural Intelligence that stood the test of time and model our businesses after the proven success stories of nature? What if we could fast track innovation and develop responsible products and agile organisations? We might learn to become life-friendly and self-renewing right where we are and transform our current degenerative value system into a regenerative one. This may sound like science fiction, but is already happening. In this book, Leen Gorissen, PhD in Biology, covers breakthrough insights from the life sciences and how these change the way we look at change and innovation. She shares some of the most advanced thinking and novelties in bio-inspired innovation - covering disciplines like biomimicry, biophilia, permaculture, living systems thinking, nature-based solutions and regenerative design - and clusters these nature-inspired disciplines under the umbrella of NI. Because nature is the largest R&D project in history. Millions of years of field tests have led to designs that outclass any man-made design in terms of efficiency, effectiveness, adaptability, resiliency and endurance. By tapping into the potential of NI, the business world can become an important engine of planetary regeneration and a beacon of creativity and meaningful work spreading hope and ingenuity, not despair and burn-out.
Author: Leen Gorissen
Publisher:
ISBN: 9789464007572
Category : Business & Economics
Languages : en
Pages : 196
Get Book Here
Book Description
Despite endless change and disruption, massive upheaval and cosmic collisions, nature has survived the worst of times and thrived in the best of them for 3.8 billion years. She knows what works, what lasts and what contributes to the future of life on Earth. She is the undisputed master of continuous innovation, adaptation and, ultimately, regeneration. What if we humans could tap into the power of the Natural Intelligence that stood the test of time and model our businesses after the proven success stories of nature? What if we could fast track innovation and develop responsible products and agile organisations? We might learn to become life-friendly and self-renewing right where we are and transform our current degenerative value system into a regenerative one. This may sound like science fiction, but is already happening. In this book, Leen Gorissen, PhD in Biology, covers breakthrough insights from the life sciences and how these change the way we look at change and innovation. She shares some of the most advanced thinking and novelties in bio-inspired innovation - covering disciplines like biomimicry, biophilia, permaculture, living systems thinking, nature-based solutions and regenerative design - and clusters these nature-inspired disciplines under the umbrella of NI. Because nature is the largest R&D project in history. Millions of years of field tests have led to designs that outclass any man-made design in terms of efficiency, effectiveness, adaptability, resiliency and endurance. By tapping into the potential of NI, the business world can become an important engine of planetary regeneration and a beacon of creativity and meaningful work spreading hope and ingenuity, not despair and burn-out.
Author: Susan Aposhyan
Publisher: Lippincott Williams & Wilkins
ISBN: 9780683305999
Category : Health & Fitness
Languages : en
Pages : 196
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Book Description
This text weaves together the history, theory and research of body-mind psychotherapy. The author lays a foundation for an understanding of the connection between the body and the mind and how the therapist/student can work to integrate the two into a healthy, functioning whole. The book is centred around two main themes: integration of the body and mind to access an organic source of intelligence and recognition that our bodies are motivated at every level (even down to cellular and molecular level). It also recognizes that emotion is an inherent part of our bodily process.
Author: Yair Neuman
Publisher: Springer
ISBN: 3319682466
Category : Mathematics
Languages : en
Pages : 179
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Book Description
This book uncovers mathematical structures underlying natural intelligence and applies category theory as a modeling language for understanding human cognition, giving readers new insights into the nature of human thought. In this context, the book explores various topics and questions, such as the human representation of the number system, why our counting ability is different from that which is evident among non-human organisms, and why the idea of zero is so difficult to grasp. The book is organized into three parts: the first introduces the general reason for studying general structures underlying the human mind; the second part introduces category theory as a modeling language and use it for exposing the deep and fascinating structures underlying human cognition; and the third applies the general principles and ideas of the first two parts to reaching a better understanding of challenging aspects of the human mind such as our understanding of the number system, the metaphorical nature of our thinking and the logic of our unconscious dynamics.
Author: Chiasson, Phyllis
Publisher: IGI Global
ISBN: 1466609737
Category : Psychology
Languages : en
Pages : 282
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Book Description
"This book explores a specific set of intelligence theories, unifying and quantifying to create a verifiable model of various inferencing habits"--Provided by publisher.
Author: Eric Bonabeau
Publisher: Oxford University Press
ISBN: 0198030150
Category : Computers
Languages : en
Pages : 320
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Book Description
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.
Author: Wang, Yingxu
Publisher: IGI Global
ISBN: 1605661716
Category : Education
Languages : en
Pages : 395
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Book Description
Presents the latest advancements in cognitive informatics and natural intelligence. Covers the five areas of cognitive informatics, natural intelligence, autonomic computing, knowledge science, and relevant development.
Author: Tom Stonier
Publisher: Springer Science & Business Media
ISBN: 1447118359
Category : Computers
Languages : en
Pages : 230
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Book Description
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".
Author: John H. Holland
Publisher: MIT Press
ISBN: 9780262581110
Category : Psychology
Languages : en
Pages : 236
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Book Description
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.
Author: Juyang Weng
Publisher:
ISBN: 9780985875725
Category : Artificial intelligence
Languages : en
Pages : 445
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Book Description
The mind is what the brain does. This book tries to map a mind model to the corresponding brain so as to not only deepen our understanding of both the brain and the mind, but also unveil computational underpinnings. That is why the words “Brain-Mind” are hyphenated in the title. This volume strives to unify natural intelligence with artificial intelligence. It approaches intelligence through not only what intelligence is but also how intelligence arises. Examples of disciplinary questions related to the material in this book: Biology: How does each autonomous cell interact with the environment to give rise to animal behaviors, and what cellular roles is the genome likely to play? Neuroscience: From an overarching perspective, how does a brain self-wire, perform top-down attention, and develop its functions? Psychology: How does an integrated brain architecture accomplish multiple psychological learning models and develop brain’s external behaviors? Computer Science: How does a brain-like network compute, adapt, reason, and generalize, and how is the automaton theory related to the brain-like network? Electrical Engineering: How does a brain-like network perform general-purpose, nonlinear, feedback sensing-and-control, beyond traditional nonlinear control? Mathematics: How does a brain-like network perform general-purpose, nonlinear optimization, and how does a brain realize emergent functionals? Physics: How do meanings arise from physics, and how does a brain-like network treat space and time in a unified way, reminiscent of relativity? Social sciences: How do computational principles of human brains provide insight into possible solutions to a variety of social and political problems? Juyang Weng received his BS degree from Fudan University, and MS and PhD degrees from University of Illinois, Urbana-Champaign, all in Computer Science. He is a professor at the Dept. of Computer Science and Engineering, a faculty member of the Cognitive Science Program and the Neuroscience Program, Michigan State University, East Lansing, Michigan, USA. He is a fellow of IEEE.
Author: Philip C. Jackson, Jr
Publisher: Courier Dover Publications
ISBN: 0486833003
Category : Mathematics
Languages : en
Pages : 43
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Book Description
How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity.
