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Computer Simulations Of Self Organization In Biological Systems
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Book Synopsis Computer Simulations of Self-organization in Biological Systems by : Narendra S. Goel
Download or read book Computer Simulations of Self-organization in Biological Systems written by Narendra S. Goel and published by MacMillan Publishing Company. This book was released on 1988 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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.
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.
Book Synopsis Computer Modeling and Simulations of Complex Biological Systems, 2nd Edition by : S. Sitharama Iyengar
Download or read book Computer Modeling and Simulations of Complex Biological Systems, 2nd Edition written by S. Sitharama Iyengar and published by CRC Press. This book was released on 1997-11-20 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text explores the use of innovative modeling techniques in effecting a better understanding of complex diseases such as AIDS and cancer. From a way of representing the computational properties of protein-folding problems to computer simulation of bimodal neurons and networks, Computer Modeling and Simulations of Complex Biological Systems examines several modeling methodologies and integrates them across a variety of disciplines. This interdisciplinary approach suggests new ways to solve complex problems pertaining to biological systems. Written in clear and simple terms appropriate for both the novice and the experienced researcher, the book presents a step-by-step approach to the subject and includes numerous examples that explain the concepts presented in the text.
Book Synopsis Constraining Models to Data by : Christopher Robert Cotter
Download or read book Constraining Models to Data written by Christopher Robert Cotter and published by . This book was released on 2017 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organization involves the coordination of cell behavior to generate structures many orders of magnitude greater than the individual cells. Self-organization is a hallmark of embryonic development, is central to the immune response, and is involved in tumor metastases. The multitude of possible behavioral cues, the presence of redundant systems, and high levels of noise obscure coordination mechanisms in self-organizing processes. This dissertation proposes a framework to overcome the challenges of studying self-organizing systems by utilizing in vivo time-lapse fluorescent imaging of moving cells and their environment to constrain computer simulations to experimental results. A simple nearest-neighbor sampling technique is described to parameterize simulations with experimental data, eliminating the need for broad assumptions or detailed knowledge about the underlying mechanisms generating cell behavior and behavioral cues. The resulting simulations provide a framework for testing hypotheses that are challenging, costly, or impossible to test via traditional biological experiments. Using this framework, a unified understanding of the cell behavior and behavioral cues required for development in the bacterium Myxococcus xanthus was identified, and previously unknown cell behaviors required for development were discovered. These results revealed that decreased cell motility inside the aggregates, a biased walk toward aggregate centroids, and alignment among neighboring cells and in a radial direction to the nearest aggregate are behaviors that enhance M. xanthus development. The simulations also indicated that aggregation is generally robust to perturbations in these behaviors and identified possible compensatory mechanisms. The framework can be applied to answer new questions about M. xanthus self-organization using the same fluorescent tracking and simulation framework to compare mutant cell behavior to that of the wild type.
Book Synopsis Advances in Applied Self-organizing Systems by : Mikhail Prokopenko
Download or read book Advances in Applied Self-organizing Systems written by Mikhail Prokopenko and published by Springer Science & Business Media. This book was released on 2007-11-24 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in successfully engineered self-organizing systems. It goes further, too, to examine ways to balance design and self-organization in the context of applications. As demonstrated throughout, finding this balance helps to deal with diverse practical challenges. The case studies described illustrate the richness of the topic and provide guidance on its more intricate areas.
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 2000-05-18 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collection of articles on the impact of nonlinear science on biology.
Book Synopsis Combined Discrete and Continual Approaches in Biological Modelling by : Alexander E. Filippov
Download or read book Combined Discrete and Continual Approaches in Biological Modelling written by Alexander E. Filippov and published by Springer Nature. This book was released on 2020-06-30 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic laws of nature are rather simple, but observed biological structures and their dynamic behaviors are unbelievably complicated. This book is devoted to a study of this “strange” relationship by applying mathematical modeling to various structures and phenomena in biology, such as surface patterns, bioadhesion, locomotion, predator-prey behavior, seed dispersal, etc. and revealing a kind of self-organization in these phenomena. In spite of diversity of biological systems considered, two main questions are (1) what does self-organization in biology mean mathematically and (2) how one can apply this knowledge to generate new knowledge about behavior of particular biological system? We believe that this kind of “biomimetics” in computer will lead to better understanding of biological phenomena and possibly towards development of technical implications based on our modeling.
Book Synopsis Models and Computer Simulations of Classical Liquids and Biological Systems by : Anna Nyberg
Download or read book Models and Computer Simulations of Classical Liquids and Biological Systems written by Anna Nyberg and published by . This book was released on 1992 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Guided Self-Organization: Inception by : Mikhail Prokopenko
Download or read book Guided Self-Organization: Inception written by Mikhail Prokopenko and published by Springer Science & Business Media. This book was released on 2013-12-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process? This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field. Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.
Book Synopsis Current Catalog by : National Library of Medicine (U.S.)
Download or read book Current Catalog written by National Library of Medicine (U.S.) and published by . This book was released on with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: First multi-year cumulation covers six years: 1965-70.
Book Synopsis Modeling dynamics biological systems by : Bruce Hannon
Download or read book Modeling dynamics biological systems written by Bruce Hannon and published by Springer Science & Business Media. This book was released on 1997 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models help us understand the dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior. This book does not require a substantial background in mathematics or computer science.
Book Synopsis Bio-Inspired Self-Organizing Robotic Systems by : Yan Meng
Download or read book Bio-Inspired Self-Organizing Robotic Systems written by Yan Meng and published by Springer Science & Business Media. This book was released on 2011-05-08 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.
Book Synopsis Computer Simulations and Molecular Modeling Approaches to Biological Systems by :
Download or read book Computer Simulations and Molecular Modeling Approaches to Biological Systems written by and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cellular Automata by : Andrew Ilachinski
Download or read book Cellular Automata written by Andrew Ilachinski and published by World Scientific. This book was released on 2001 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cellular automata are a class of spatially and temporally discrete mathematical systems characterized by local interaction and synchronous dynamical evolution. Introduced by the mathematician John von Neumann in the 1950s as simple models of biological self-reproduction, they are prototypical models for complex systems and processes consisting of a large number of simple, homogeneous, locally interacting components. Cellular automata have been the focus of great attention over the years because of their ability to generate a rich spectrum of very complex patterns of behavior out of sets of relatively simple underlying rules. Moreover, they appear to capture many essential features of complex self-organizing cooperative behavior observed in real systems.This book provides a summary of the basic properties of cellular automata, and explores in depth many important cellular-automata-related research areas, including artificial life, chaos, emergence, fractals, nonlinear dynamics, and self-organization. It also presents a broad review of the speculative proposition that cellular automata may eventually prove to be theoretical harbingers of a fundamentally new information-based, discrete physics. Designed to be accessible at the junior/senior undergraduate level and above, the book will be of interest to all students, researchers, and professionals wanting to learn about order, chaos, and the emergence of complexity. It contains an extensive bibliography and provides a listing of cellular automata resources available on the World Wide Web.
Book Synopsis The Selection of the Organizing Self by : Naomi Dar
Download or read book The Selection of the Organizing Self written by Naomi Dar and published by . This book was released on 2010 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Selection of the Organizing Self is a detailed study of the relations between self organizing theories in biology and the Darwinian theory. The simulation of biological system as interacting networks had revealed the capacity of such systems to develop structures and functions out of simple interactions between basic units. According to self organization theories the role of natural selection as the drive of change in living systems had narrowed down to an outer mechanism of choosing between functional biological systems. The book examines the understanding of natural selection in Darwinian and especially neo-Darwinian theories and compares them with revised concept of natural selection in self organization theories. The outgrowth of biological structures rather than the emergence of biological functions is the most significant difference between the two interpretations of biological systems.
