Self-Organization in Biological Systems

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Author :
Publisher : Princeton University Press
ISBN 13 : 0691212929
Total Pages : pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Self-Organization in Biological Systems by : Scott Camazine

Download or read book Self-Organization in Biological Systems written by Scott Camazine and published by Princeton University Press. This book was released on 2020-05-26 with total page 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.

Self-Organized Biological Dynamics and Nonlinear Control

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Publisher : Cambridge University Press
ISBN 13 : 1139427598
Total Pages : 444 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Self-Organized Biological Dynamics and Nonlinear Control by : Jan Walleczek

Download or read book Self-Organized Biological Dynamics and Nonlinear Control written by Jan Walleczek and published by Cambridge University Press. This book was released on 2006-04-20 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing impact of nonlinear science on biology and medicine is fundamentally changing our view of living organisms and disease processes. This book introduces the application to biomedicine of a broad range of interdisciplinary concepts from nonlinear dynamics, such as self-organization, complexity, coherence, stochastic resonance, fractals and chaos. It comprises 18 chapters written by leading figures in the field and covers experimental and theoretical research, as well as the emerging technological possibilities such as nonlinear control techniques for treating pathological biodynamics, including heart arrhythmias and epilepsy. This book will attract the interest of professionals and students from a wide range of disciplines, including physicists, chemists, biologists, sensory physiologists and medical researchers such as cardiologists, neurologists and biomedical engineers.

Self-organization in Biological Systems

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Author :
Publisher : Princeton University Press
ISBN 13 : 9780691116242
Total Pages : 558 pages
Book Rating : 4.1/5 (162 download)

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Book Synopsis Self-organization in Biological Systems by : Scott Camazine

Download or read book Self-organization in Biological Systems written by Scott Camazine and published by Princeton University Press. This book was released on 2003-09-17 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological structures built through mechanisms involving self-organization are examined in this text. Examples of such structures are termite mounds, which provide their inhabitants with a secure & stable environment. The text looks at why & how self-organization occurs in nature.

Self-Organized Criticality

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Publisher : Cambridge University Press
ISBN 13 : 9780521483711
Total Pages : 172 pages
Book Rating : 4.4/5 (837 download)

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Book Synopsis Self-Organized Criticality by : Henrik Jeldtoft Jensen

Download or read book Self-Organized Criticality written by Henrik Jeldtoft Jensen and published by Cambridge University Press. This book was released on 1998 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and concise introduction to this new, cross-disciplinary field.

Molecular Mechanisms of Autonomy in Biological Systems

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Publisher : Springer
ISBN 13 : 3319918249
Total Pages : 134 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Molecular Mechanisms of Autonomy in Biological Systems by : Tara Karimi

Download or read book Molecular Mechanisms of Autonomy in Biological Systems written by Tara Karimi and published by Springer. This book was released on 2018-07-28 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine. Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing.

The Origins of Order

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Publisher : Oxford University Press
ISBN 13 : 9780199826674
Total Pages : 734 pages
Book Rating : 4.8/5 (266 download)

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Book Synopsis The Origins of Order by : Stuart A. Kauffman

Download or read book The Origins of Order written by Stuart A. Kauffman and published by Oxford University Press. This book was released on 1993-06-10 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order that is widely observed throughout nature Kauffman argues that self-organization plays an important role in the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt are poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biological science itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences.

Self-organized Complexity in the Physical, Biological, and Social Sciences

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Author :
Publisher : National Academies Press
ISBN 13 : 0309082854
Total Pages : 385 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Self-organized Complexity in the Physical, Biological, and Social Sciences by : Donald Lawson Turcotte

Download or read book Self-organized Complexity in the Physical, Biological, and Social Sciences written by Donald Lawson Turcotte and published by National Academies Press. This book was released on 2002 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Self-Organizing Robots

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Publisher : Springer Science & Business Media
ISBN 13 : 4431540547
Total Pages : 263 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Self-Organizing Robots by : Satoshi Murata

Download or read book Self-Organizing Robots written by Satoshi Murata and published by Springer Science & Business Media. This book was released on 2012-01-22 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is man’s ongoing hope that a machine could somehow adapt to its environment by reorganizing itself. This is what the notion of self-organizing robots is based on. The theme of this book is to examine the feasibility of creating such robots within the limitations of current mechanical engineering. The topics comprise the following aspects of such a pursuit: the philosophy of design of self-organizing mechanical systems; self-organization in biological systems; the history of self-organizing mechanical systems; a case study of a self-assembling/self-repairing system as an autonomous distributed system; a self-organizing robot that can create its own shape and robotic motion; implementation and instrumentation of self-organizing robots; and the future of self-organizing robots. All topics are illustrated with many up-to-date examples, including those from the authors’ own work. The book does not require advanced knowledge of mathematics to be understood, and will be of great benefit to students in the robotics discipline, including in the areas of mechanics, control, electronics, and computer science. It is also an important source for researchers who wish to investigate the field of robotics or who have an interest in the application of self-organizing phenomena.

Information and Self-Organization

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540330232
Total Pages : 258 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Information and Self-Organization by : Hermann Haken

Download or read book Information and Self-Organization written by Hermann Haken and published by Springer Science & Business Media. This book was released on 2006-09-14 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread interest this book has found among professors, scientists and stu dents working in a variety of fields has made a new edition necessary. I have used this opportunity to add three new chapters on recent developments. One of the most fascinating fields of modern science is cognitive science which has become a meet ing place of many disciplines ranging from mathematics over physics and computer science to psychology. Here, one of the important links between these fields is the concept of information which, however, appears in various disguises, be it as Shan non information or as semantic information (or as something still different). So far, meaning seemed to be exorcised from Shannon information, whereas meaning plays a central role in semantic (or as it is sometimes called "pragmatic") information. In the new chapter 13 it will be shown, however, that there is an important interplay between Shannon and semantic information and that, in particular, the latter plays a decisive role in the fixation of Shannon information and, in cognitive processes, al lows a drastic reduction of that information. A second, equally fascinating and rapidly developing field for mathematicians, computer scientists and physicists is quantum information and quantum computa tion. The inclusion of these topics is a must for any modern treatise dealing with in formation. It becomes more and more evident that the abstract concept of informa tion is inseparably tied up with its realizations in the physical world.

Dynamics of Self-Organized and Self-Assembled Structures

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1139478842
Total Pages : 307 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Dynamics of Self-Organized and Self-Assembled Structures by : Rashmi C. Desai

Download or read book Dynamics of Self-Organized and Self-Assembled Structures written by Rashmi C. Desai and published by Cambridge University Press. This book was released on 2009-03-26 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical and biological systems driven out of equilibrium may spontaneously evolve to form spatial structures. In some systems molecular constituents may self-assemble to produce complex ordered structures. This book describes how such pattern formation processes occur and how they can be modeled. Experimental observations are used to introduce the diverse systems and phenomena leading to pattern formation. The physical origins of various spatial structures are discussed, and models for their formation are constructed. In contrast to many treatments, pattern-forming processes in nonequilibrium systems are treated in a coherent fashion. The book shows how near-equilibrium and far-from-equilibrium modeling concepts are often combined to describe physical systems. This inter-disciplinary book can form the basis of graduate courses in pattern formation and self-assembly. It is a useful reference for graduate students and researchers in a number of disciplines, including condensed matter science, nonequilibrium statistical mechanics, nonlinear dynamics, chemical biophysics, materials science, and engineering.

At Home in the Universe

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Publisher : Oxford University Press
ISBN 13 : 019984030X
Total Pages : 335 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis At Home in the Universe by : Stuart Kauffman

Download or read book At Home in the Universe written by Stuart Kauffman and published by Oxford University Press. This book was released on 1996-11-21 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major scientific revolution has begun, a new paradigm that rivals Darwin's theory in importance. At its heart is the discovery of the order that lies deep within the most complex of systems, from the origin of life, to the workings of giant corporations, to the rise and fall of great civilizations. And more than anyone else, this revolution is the work of one man, Stuart Kauffman, a MacArthur Fellow and visionary pioneer of the new science of complexity. Now, in At Home in the Universe, Kauffman brilliantly weaves together the excitement of intellectual discovery and a fertile mix of insights to give the general reader a fascinating look at this new science--and at the forces for order that lie at the edge of chaos. We all know of instances of spontaneous order in nature--an oil droplet in water forms a sphere, snowflakes have a six-fold symmetry. What we are only now discovering, Kauffman says, is that the range of spontaneous order is enormously greater than we had supposed. Indeed, self-organization is a great undiscovered principle of nature. But how does this spontaneous order arise? Kauffman contends that complexity itself triggers self-organization, or what he calls "order for free," that if enough different molecules pass a certain threshold of complexity, they begin to self-organize into a new entity--a living cell. Kauffman uses the analogy of a thousand buttons on a rug--join two buttons randomly with thread, then another two, and so on. At first, you have isolated pairs; later, small clusters; but suddenly at around the 500th repetition, a remarkable transformation occurs--much like the phase transition when water abruptly turns to ice--and the buttons link up in one giant network. Likewise, life may have originated when the mix of different molecules in the primordial soup passed a certain level of complexity and self-organized into living entities (if so, then life is not a highly improbable chance event, but almost inevitable). Kauffman uses the basic insight of "order for free" to illuminate a staggering range of phenomena. We see how a single-celled embryo can grow to a highly complex organism with over two hundred different cell types. We learn how the science of complexity extends Darwin's theory of evolution by natural selection: that self-organization, selection, and chance are the engines of the biosphere. And we gain insights into biotechnology, the stunning magic of the new frontier of genetic engineering--generating trillions of novel molecules to find new drugs, vaccines, enzymes, biosensors, and more. Indeed, Kauffman shows that ecosystems, economic systems, and even cultural systems may all evolve according to similar general laws, that tissues and terra cotta evolve in similar ways. And finally, there is a profoundly spiritual element to Kauffman's thought. If, as he argues, life were bound to arise, not as an incalculably improbable accident, but as an expected fulfillment of the natural order, then we truly are at home in the universe. Kauffman's earlier volume, The Origins of Order, written for specialists, received lavish praise. Stephen Jay Gould called it "a landmark and a classic." And Nobel Laureate Philip Anderson wrote that "there are few people in this world who ever ask the right questions of science, and they are the ones who affect its future most profoundly. Stuart Kauffman is one of these." In At Home in the Universe, this visionary thinker takes you along as he explores new insights into the nature of life.

Dynamic Patterns

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Publisher : MIT Press
ISBN 13 : 9780262611312
Total Pages : 368 pages
Book Rating : 4.6/5 (113 download)

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Book Synopsis Dynamic Patterns by : J. A. Scott Kelso

Download or read book Dynamic Patterns written by J. A. Scott Kelso and published by MIT Press. This book was released on 1995 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels--from neurons to mind--is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency. Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics. Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.

The Way of the Cell

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Publisher : Oxford University Press, USA
ISBN 13 : 0195163389
Total Pages : 320 pages
Book Rating : 4.1/5 (951 download)

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Book Synopsis The Way of the Cell by : Franklin M. Harold

Download or read book The Way of the Cell written by Franklin M. Harold and published by Oxford University Press, USA. This book was released on 2003 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading microbiologist provides thought-provoking insights into the question of "What is Life?" as he examines the relationship of living things to the inorganic realms of physics and chemistry, explains how lifeless chemicals come together to form living beings, and details the true complexity of seemingly simple microorganisms such as E. coli.

Self-Organization in the Nervous System

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2889453405
Total Pages : 137 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Self-Organization in the Nervous System by : Yan M. Yufik

Download or read book Self-Organization in the Nervous System written by Yan M. Yufik and published by Frontiers Media SA. This book was released on 2017-11-30 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special issue reviews state-of-the-art approaches to the biophysical roots of cognition. These approaches appeal to the notion that cognitive capacities serve to optimize responses to changing external conditions. Crucially, this optimisation rests on the ability to predict changes in the environment, thus allowing organisms to respond pre-emptively to changes before their onset. The biophysical mechanisms that underwrite these cognitive capacities remain largely unknown; although a number of hypotheses has been advanced in systems neuroscience, biophysics and other disciplines. These hypotheses converge on the intersection of thermodynamic and information-theoretic formulations of self-organization in the brain. The latter perspective emerged when Shannon’s theory of message transmission in communication systems was used to characterise message passing between neurons. In its subsequent incarnations, the information theory approach has been integrated into computational neuroscience and the Bayesian brain framework. The thermodynamic formulation rests on a view of the brain as an aggregation of stochastic microprocessors (neurons), with subsequent appeal to the constructs of statistical mechanics and thermodynamics. In particular, the use of ensemble dynamics to elucidate the relationship between micro-scale parameters and those of the macro-scale aggregation (the brain). In general, the thermodynamic approach treats the brain as a dissipative system and seeks to represent the development and functioning of cognitive mechanisms as collective capacities that emerge in the course of self-organization. Its explicanda include energy efficiency; enabling progressively more complex cognitive operations such as long-term prediction and anticipatory planning. A cardinal example of the Bayesian brain approach is the free energy principle that explains self-organizing dynamics in the brain in terms of its predictive capabilities – and selective sampling of sensory inputs that optimise variational free energy as a proxy for Bayesian model evidence. An example of thermodynamically grounded proposals, in this issue, associates self-organization with phase transitions in neuronal state-spaces; resulting in the formation of bounded neuronal assemblies (neuronal packets). This special issue seeks a discourse between thermodynamic and informational formulations of the self-organising and self-evidencing brain. For example, could minimization of thermodynamic free energy during the formation of neuronal packets underlie minimization of variational free energy?

Self-Organizing Systems

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461308836
Total Pages : 658 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Self-Organizing Systems by : F.Eugene Yates

Download or read book Self-Organizing Systems written by F.Eugene Yates and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological systems become organized by commands from outside, as when human intentions lead to the building of structures or machines. But many nat ural systems become structured by their own internal processes: these are the self organizing systems, and the emergence of order within them is a complex phe nomenon that intrigues scientists from all disciplines. Unfortunately, complexity is ill-defined. Global explanatory constructs, such as cybernetics or general sys tems theory, which were intended to cope with complexity, produced instead a grandiosity that has now, mercifully, run its course and died. Most of us have become wary of proposals for an "integrated, systems approach" to complex matters; yet we must come to grips with complexity some how. Now is a good time to reexamine complex systems to determine whether or not various scientific specialties can discover common principles or properties in them. If they do, then a fresh, multidisciplinary attack on the difficulties would be a valid scientific task. Believing that complexity is a proper scientific issue, and that self-organizing systems are the foremost example, R. Tomovic, Z. Damjanovic, and I arranged a conference (August 26-September 1, 1979) in Dubrovnik, Yugoslavia, to address self-organizing systems. We invited 30 participants from seven countries. Included were biologists, geologists, physicists, chemists, mathematicians, bio physicists, and control engineers. Participants were asked not to bring manu scripts, but, rather, to present positions on an assigned topic. Any writing would be done after the conference, when the writers could benefit from their experi ences there.

Evolutionary Robotics

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Publisher : MIT Press
ISBN 13 : 9780262140706
Total Pages : 338 pages
Book Rating : 4.1/5 (47 download)

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Book Synopsis Evolutionary Robotics by : Stefano Nolfi

Download or read book Evolutionary Robotics written by Stefano Nolfi and published by MIT Press. This book was released on 2000 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the basic concepts and methodologies of evolutionary robotics, which views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention.

Towards a Mathematical Theory of Complex Biological Systems

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Author :
Publisher : World Scientific
ISBN 13 : 9814340537
Total Pages : 227 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Towards a Mathematical Theory of Complex Biological Systems by : Carlo Bianca

Download or read book Towards a Mathematical Theory of Complex Biological Systems written by Carlo Bianca and published by World Scientific. This book was released on 2011 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph has the ambitious aim of developing a mathematical theory of complex biological systems with special attention to the phenomena of ageing, degeneration and repair of biological tissues under individual self-repair actions that may have good potential in medical therapy. The approach to mathematically modeling biological systems needs to tackle the additional difficulties generated by the peculiarities of living matter. These include the lack of invariance principles, abilities to express strategies for individual fitness, heterogeneous behaviors, competition up to proliferative and/or destructive actions, mutations, learning ability, evolution and many others. Applied mathematicians in the field of living systems, especially biological systems, will appreciate the special class of integro-differential equations offered here for modeling at the molecular, celular and tissue scales. A unique perspective is also presented with a number of case studies in biological modeling.