Download or read book Self Organizing Natural Intelligence written by Myrna Estep and published by Springer Science & Business Media. This book was released on 2006-12-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings new scientific methods to intelligence research that is still under the influence of 19th century single causal theory and method. The author describes a rigorous and exhaustive classification of natural intelligence while demonstrating a more adequate scientific and mathematical approach than current statistical and psychometric approaches construct to shore up the out-dated and misused IQ hypothetical. The author demonstrates the superiority of a highly developed multidisciplinary-theory models view of intelligence.
Download or read book Self Organization in Biological Systems written by Scott Camazine and published by Princeton University Press. This book was released on 2020-05-05 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns--phenomena that have fascinated naturalists for centuries--a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: To what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology--a field of study at the forefront of life sciences research.
Download or read book Self organization and Emergence in Life Sciences written by Bernard Feltz and published by Springer Science & Business Media. This book was released on 2006-01-13 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organization constitutes one of the most important theoretical debates in contemporary life sciences. The present book explores the relevance of the concept of self-organization and its impact on such scientific fields as: immunology, neurosciences, ecology and theories of evolution. Historical aspects of the issue are also broached. Intuitions relative to self-organization can be found in the works of such key western philosophical figures as Aristotle, Leibniz and Kant. Interacting with more recent authors and cybernetics, self-organization represents a notion in keeping with the modern world's discovery of radical complexity. The themes of teleology and emergence are analyzed by philosophers of sciences with regards to the issues of modelization and scientific explanation. The implications of self-organization for life sciences are here approached from an interdisciplinary angle, revealing the notion as already rewarding and full of promise for the future.
Download or read book Manufacturing Intelligence for Industrial Engineering Methods for System Self Organization Learning and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Download or read book Building the Future of Innovation on Millions of Years of Natural Intelligence written by Leen Gorissen and published by . This book was released on 2020-04-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Relational Thinking Styles and Natural Intelligence Assessing Inference Patterns for Computational Modeling written by Chiasson, Phyllis and published by IGI Global. This book was released on 2012-04-30 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores a specific set of intelligence theories, unifying and quantifying to create a verifiable model of various inferencing habits"--Provided by publisher.
Download or read book Self Organizing Migrating Algorithm written by Donald Davendra and published by Springer. This book was released on 2016-02-04 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
Download or read book A Theory of Immediate Awareness written by M. Estep and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is multi- and interdisciplinary in both scope and content. It draws upon philosophy, the neurosciences, psychology, computer science, and engineering in efforts to resolve fundamental issues about the nature of immediate awareness. Approximately the first half of the book is addressed to historical approaches to the question whether or not there is such a thing as immediate awareness, and if so, what it might be. This involves reviewing arguments that one way or another have been offered as answers to the question or ways of avoiding it. It also includes detailed discussions of some complex questions about the part immediate awareness plays in our over-all natural intelligence. The second half of the book addresses intricate and complex issues involved in the computability of immediate awareness as it is found in simple, ordinary things human beings know how to do, as weIl as in some highly extraordinary things some know how to do. Over the past 2,500 years, human culture has discovered, created, and built very powerful tools for recognizing, classifying, and utilizing patterns found in the natural world. The most powerful of those tools is mathematics, the language of nature. The natural phenomenon of human knowing, of natural intelligence generally, is a very richly textured set of patterns that are highly complex, dynamic, self-organizing, and adaptive.
Download or read book Self Organizing Architectures written by Danny Weyns and published by Springer Science & Business Media. This book was released on 2010-07-15 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.
Download or read book Swarm Intelligence written by Eric Bonabeau and published by Oxford University Press. This book was released on 1999-09-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Darwin s Unfinished Business written by Simon G. Powell and published by Simon and Schuster. This book was released on 2011-12-22 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking interpretation of evolution as the work of Nature’s intelligence • Refutes the orthodox view of evolution as a mindless process driven by chance • Explains why context is more important than mutation in evolutionary innovation • Shows how, by recognizing Nature’s innovative and creative powers, we can overcome our social and environmental challenges with a new green science of evolution Darwin’s theory of evolution is undoubtedly one of the most important scientific ideas of the modern age, explaining the existence of both life and consciousness without recourse to divine intervention. Yet how do we interpret evolution? How do we evaluate the ability of Nature to engineer something as exquisite as the genetic code or the human brain? Could it be that evolution is an intelligent process? Is Nature smart? According to most scientists, the answer is no. While humanity may be intelligent and purposeful, the natural processes that crafted us are deemed to be devoid of such attributes. In a radical move away from orthodoxy, Simon G. Powell extends Darwin’s vision by showing that evolution is not just about the survival of the fittest but rather the survival of clever and sensible behavior. Revealing the importance of the context in which things evolve, he explores the intelligent learning process behind natural selection. Rich with examples of the incredibly complex plants, animals, insects, and marine life designed by Nature--from the carnivorous Venus flytrap and the fungus-farming leafcutter ant to the symbiotic microbes found inside the common cow--he shows Nature as a whole to be a system of self-organizing intelligence in which life and consciousness were always destined to emerge. Examining the origins of life and the failure of artificial intelligence to compete with natural intelligence, he explains how our scientifically narrow-minded views on intelligence are now acting as a barrier to our own evolution. As Darwin’s unfinished business comes to light and Nature’s intelligence is embraced, we learn that Nature’s agenda is not simply the replication of genetic matter but of expanding consciousness. By working with Nature’s creative and innovative powers instead of against them, we can address today’s social and environmental challenges with a new green science of evolution.
Download or read book Proceedings of International Scientific Conference on Telecommunications Computing and Control written by Nikita Voinov and published by Springer Nature. This book was released on 2021-04-28 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for academics and practitioners for sharing innovative results, approaches, developments, and research projects in computer science and information technology, focusing on the latest challenges in advanced computing and solutions introducing mathematical and engineering approaches. The book presents discussions in the area of advances and challenges of modern computer science, including telecommunications and signal processing, machine learning and artificial intelligence, intelligent control systems, modeling and simulation, data science and big data, data visualization and graphics systems, distributed, cloud and high-performance computing, and software engineering. The papers included are presented at TELECCON 2019 organized by Peter the Great St. Petersburg University during November 18–19, 2019.
Download or read book Knowledge Based Intelligent Information and Engineering Systems written by Vasile Palade and published by Springer. This book was released on 2011-04-08 with total page 1531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].
Download or read book An Artificial History of Natural Intelligence written by David W. Bates and published by University of Chicago Press. This book was released on 2024 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What would it mean to make a decision against the acceleration of automation and for humanity? In An Artificial History of Natural Intelligence, David W. Bates lays the groundwork for such a decision by rethinking the history of human cognition and its entanglements with technology. Tracing evolving lines of thought from the early modern period to the present, Bates confronts the intimate connection between autonomy and automaticity in how we have understood the capacities of the human mind. At the heart of this entanglement is a total mechanistic understanding of nature that began in the seventeenth century and saw the body as machine, the nervous system as control mechanism, and the brain as the center of cognition. Reading varied thinkers from Descartes to Kant to Turing, Bates reveals how new ideas and experiences reconfigured the ways in which the automaticity of the body could be linked with technical systems, while at the same time the mind could still create the space for autonomy. The result is a new theorization of the human in which the human, dependent on technology, produces itself as an artificial automation that has no "natural" origin"--
Download or read book What Comes After Money written by Daniel Pinchbeck and published by North Atlantic Books. This book was released on 2011-09-27 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most people believe that money is organic and inevitable; we forget that money is just a tool created to perform certain functions. But just as computer programmers drop out-of date tools and pick up better ones as soon as they become available, we might switch from bank-financed currency to a more equitable method for transferring goods and services. As an operating system for society, money needs a major upgrade. What Comes After Money? offers a wealth of alternatives to the current monetary system. In this anthology of essays drawn from the popular web magazine Reality Sandwich, 20 visionary thinkers explore the roots of the modern economic crisis and propose diverse solutions: instituting local currencies; creating reputation or gift economies (based on historical and contemporary); introducing spirituality into the equation; and many more. Contributors include economist Bernard Leitaer, media theorist Douglas Rushkoff, musician Paul D. Miller (a.k.a. DJ Spooky), theoretical physicist Amit Goswami, Larry Harvey (founder of Burning Man), and Peter Lamborn Wilson (a.k.a. Hakim Bey). About the Imprint: EVOLVER EDITIONS promotes a new counterculture that recognizes humanity's visionary potential and takes tangible, pragmatic steps to realize it. EVOLVER EDITIONS explores the dynamics of personal, collective, and global change from a wide range of perspectives. EVOLVER EDITIONS is an imprint of North Atlantic Books and is produced in collaboration with Evolver, LLC.
Download or read book Intelligent Systems 2014 written by D. Filev and published by Springer. This book was released on 2014-09-20 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS’2014 for short, held on September 24‐26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014-Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets.The conference was organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements - PIAP.The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.
Download or read book Intelligent Industrial Systems Modeling Automation and Adaptive Behavior written by Rigatos, Gerasimos and published by IGI Global. This book was released on 2010-06-30 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical systems, fault diagnosis and avoidance of critical conditions, optimization, and adaptive behavior. This book discusses examples from major areas of research for engineers and researchers, providing an extensive background on robotics and industrial systems with intelligence, autonomy, and adaptive behavior giving emphasis to industrial systems design.
