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Author: Satoshi Nakata
Publisher: Royal Society of Chemistry
ISBN: 1788015436
Category : Science
Languages : en
Pages : 388
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Book Description
Self-propelled objects (particles, droplets) are autonomous agents that can convert energy from the environment into motion. These motions include nonlinear behaviour such as oscillations, synchronization, bifurcation, and pattern formation. In recent years, there has been much interest in self-propelled objects for their potential role in mass transport or their use as carriers in confined spaces. An improved understanding of self-organized motion has even allowed researchers to design objects for specific motion. This book gives an overview of the principles of self-propelled motion in chemical objects (particles, droplets) far from their thermodynamic equilibrium, at various spatial scales. Theoretical aspects, the characteristics of the motion and the design procedures of such systems are discussed from the viewpoint of nonlinear dynamics and examples of applications for these nonlinear systems are provided. This book is suitable for researchers and graduate students interested in physical and theoretical chemistry as well as soft matter.
Author: Satoshi Nakata
Publisher: Royal Society of Chemistry
ISBN: 1788015436
Category : Science
Languages : en
Pages : 388
Get Book Here
Book Description
Self-propelled objects (particles, droplets) are autonomous agents that can convert energy from the environment into motion. These motions include nonlinear behaviour such as oscillations, synchronization, bifurcation, and pattern formation. In recent years, there has been much interest in self-propelled objects for their potential role in mass transport or their use as carriers in confined spaces. An improved understanding of self-organized motion has even allowed researchers to design objects for specific motion. This book gives an overview of the principles of self-propelled motion in chemical objects (particles, droplets) far from their thermodynamic equilibrium, at various spatial scales. Theoretical aspects, the characteristics of the motion and the design procedures of such systems are discussed from the viewpoint of nonlinear dynamics and examples of applications for these nonlinear systems are provided. This book is suitable for researchers and graduate students interested in physical and theoretical chemistry as well as soft matter.
Author: Carlos Gershenson
Publisher: Frontiers Media SA
ISBN: 2889667812
Category : Science
Languages : en
Pages : 116
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Book Description
Author: Jiming Liu
Publisher: World Scientific
ISBN: 9814493244
Category : Computers
Languages : en
Pages : 302
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Book Description
An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems.The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system.
Author: Marek Orlik
Publisher: Springer Science & Business Media
ISBN: 364227627X
Category : Science
Languages : en
Pages : 463
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Book Description
This is the second of two volumes offering the very first comprehensive treatise of self-organization and non-linear dynamics in electrochemical systems. The first volume covers general principles of self-organization as well as temporal instabilities. The content of both volumes is organized so that each description of a particular electrochemical system is preceded by an introduction to basic concepts of nonlinear dynamics, in order to help the reader unfamiliar with this discipline to understand at least fundamental concepts and the methods of stability analysis. The presentation of the systems is not limited to laboratory models but stretches out to real-life objects and processes, including systems of biological importance, such as neurons in living matter. Marek Orlik presents a comprehensive and consistent survey of the field.
Author: Juval Portugali
Publisher: Springer Science & Business Media
ISBN: 3662040999
Category : Science
Languages : en
Pages : 359
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Book Description
This book integrates the theories of complex self-organizing systems with the rich body of discourse and literature developed in what might be called ‘social theory of cities and urbanism’. It uses techniques from dynamical complexity and synergetics to successfully tackle open social science questions.
Author: Christian Jooss
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110644207
Category : Science
Languages : en
Pages : 312
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Book Description
Self-organization of matter is observed in every context and on all scales, from the nanoscale of quantum fields and subatomic particles to the macroscale of galaxy superclusters. This book analyzes the wide range of patterns of organization present in nature, highlighting their similarities rather than their differences. This unconventional approach results in an illuminating read which should be part of any Physics student's background.
Author:
Publisher: DEStech Publications, Inc
ISBN: 1605952001
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
The 2014 International Conference on Economics and Management Engineering (ICEME2014) is held in Hangzhou, China from October 18–19, 2014. The conference aims to provide an excellent international academic forum for all the researchers, practitioner, students and teachers in related fields to share their knowledge and results in theory, methodology and application on economics, management science and management engineering. ICEME2014 features unique mixed topics of Economics, Management Science, Management Engineering and other related ones. ICEME2014 proceeding tends to collect the most up-to-date, comprehensive, and worldwide state-of-art knowledge on economics, management science and management engineering. All the accepted papers have been submitted to strict peer-review by 2–4 expert referees, and selected based on originality, significance and clarity for the purpose of the conference. The conference program is extremely rich, profound and featuring high-impact presentations of selected papers and additional late-breaking contributions. We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange.
Author: Koleva, Maria K.
Publisher: IGI Global
ISBN: 1466622032
Category : Computers
Languages : en
Pages : 234
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Book Description
"This book enhances the understanding of the theoretical framework and leading principles of boundedness, aiming to bridge the gap between biology, artificial intelligence, and physics"--Provided by publisher.
Author: Martin A. Giese
Publisher: Springer Science & Business Media
ISBN: 1461555817
Category : Science
Languages : en
Pages : 259
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Book Description
Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.
Author: Scott Camazine
Publisher: Princeton University Press
ISBN: 0691212929
Category : Science
Languages : en
Pages :
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Book Description
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.
