Download or read book Neural Networks and Self Organizing Cellular Automata written by Matthew Robinson and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a framework that uses neural networks to evolve local behaviors within cellular automata to form complex collective behavior. Our framework shows how starting with an initial state and a target state for a cellular automaton, we can evolve a neural network that computes translationally invariant local interactions to form that target state. We demonstrate this framework on various test images as target states to understand its behavior and to develop optimizations. Through this, we present several novel extensions and improvements to this framework including a gradual and companion learning approach akin to transfer learning. Furthermore, we test this framework on a related problem from microbiology: predicting protein interactions from global behavior, and propose several other problems to investigate.
Download or read book Theory of Practical Cellular Automaton written by Xuewei Li and published by Springer. This book was released on 2018-05-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease. Pursuing a blended approach between knowledge and philosophy, it assigns equal value to methods and applications.
Download or read book Self Organizing Systems written by Christian Bettstetter and published by Springer Science & Business Media. This book was released on 2011-02-10 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Self-Organizing Systems, IWSOS 2011, held in Karlsruhe, Germany, in February 2011. The 9 revised full papers presented together with 1 invited paper were carefully selected from 25 initial submissions. It was the 5th workshop in a series of multidisciplinary events dedicated to self-organization in networked systems with main focus on communication and computer networks. The papers address theoretical aspects of self-organization as well as applications in communication and computer networks and robot networks.
Download or read book Selforganizology The Science Of Self organization written by Wenjun Zhang and published by World Scientific. This book was released on 2015-11-27 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book is the first of its kind on 'selforganizology', the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc.Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature.This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences.
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 2006-07-10 with total page 363 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 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.
Download or read book Advanced Topics on Cellular Self organizing Nets and Chaotic Nonlinear Dynamics to Model and Control Complex Systems written by Riccardo Caponetto and published by World Scientific. This book was released on 2008 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the research topics investigated during the three-year research project funded by the Italian Ministero dell'Istruzione, dell'Universite e della Ricerca (MIUR: Ministry of Education, University and Research) under the FIRB project RBNE01CW3M. With the aim of introducing newer perspectives of the research on complexity, the final results of the project are presented after a general introduction to the subject. The book is intended to provide researchers, PhD students, and people involved in research projects in companies with the basic fundamentals of complex systems and the advanced project results recently obtained.
Download or read book Growing Cell Structures a Self organizing Network for Unsupervised and Supervised Learning written by International Computer Science Institute and published by . This book was released on 1993 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We present a new self-organizing neural network model having two variants. The first variant performs unsupervised learning and can be used for data visualization, clustering, and vector quantization. The main advantage over existing approaches, e.g., the Kohonen feature map, is the ability of the model to automatically find a suitable network structure and size. This is achieved through a controlled growth process which also includes occasional removal of units. The second variant of the model is a supervised learning method which results from the combination of the abovementioned self-organizing network with the radial basis function (RBF) approach. In this model it is possible -- in contrast to earlier approaches -- to perform the positioning of the RBF units and the supervised training of the weights in parallel. Therefore, the current classification error can be used to determine where to insert new RBF units. This leads to small networks which generalize very well. Results on the two-spirals benchmark and a vowel classification problem are presented which are better than any results previously published."
Download or read book Creating Artificial Life written by Ed Rietman and published by McGraw-Hill Companies. This book was released on 1993 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first truly hands-on study of artificial life and its potential for synthesization by computer. Explores several definitions of life, and applies these widely divergent scientific viewpoints to such emerging fields as artificial intelligence, robotics, theoretical biology, cellular automata, and neural networks. Takes a provocative look at the future of artificial life and its implications for 21st century society. A 3.5" disk is included!
Download or read book Self organizing Coalitions for Managing Complexity written by Juan C. Burguillo and published by Springer. This book was released on 2017-12-13 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master’s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
Download or read book New Developments in Self organizing Systems written by and published by . This book was released on 2004 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Self Organizing Systems written by Christian Bettstetter and published by Springer. This book was released on 2011-02-03 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Self-Organizing Systems, IWSOS 2011, held in Karlsruhe, Germany, in February 2011. The 9 revised full papers presented together with 1 invited paper were carefully selected from 25 initial submissions. It was the 5th workshop in a series of multidisciplinary events dedicated to self-organization in networked systems with main focus on communication and computer networks. The papers address theoretical aspects of self-organization as well as applications in communication and computer networks and robot networks.
Download or read book Self Organization in Sensor and Actor Networks written by Falko Dressler and published by John Wiley & Sons. This book was released on 2008-03-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-Organization in Sensor and Actor Networks explores self-organization mechanisms and methodologies concerning the efficient coordination between intercommunicating autonomous systems.Self-organization is often referred to as the multitude of algorithms and methods that organise the global behaviour of a system based on inter-system communication. Studies of self-organization in natural systems first took off in the 1960s. In technology, such approaches have become a hot research topic over the last 4-5 years with emphasis upon management and control in communication networks, and especially in resource-constrained sensor and actor networks. In the area of ad hoc networks new solutions have been discovered that imitate the properties of self-organization. Some algorithms for on-demand communication and coordination, including data-centric networking, are well-known examples. Key features include: Detailed treatment of self-organization, mobile sensor and actor networks, coordination between autonomous systems, and bio-inspired networking. Overview of the basic methodologies for self-organization, a comparison to central and hierarchical control, and classification of algorithms and techniques in sensor and actor networks. Explanation of medium access control, ad hoc routing, data-centric networking, synchronization, and task allocation issues. Introduction to swarm intelligence, artificial immune system, molecular information exchange. Numerous examples and application scenarios to illustrate the theory. Self-Organization in Sensor and Actor Networks will prove essential reading for students of computer science and related fields; researchers working in the area of massively distributed systems, sensor networks, self-organization, and bio-inspired networking will also find this reference useful.
Download or read book From Natural to Artificial Intelligence written by Ricardo López-Ruiz and published by . This book was released on 2018 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Self organizing Complexity in Psychological Systems written by Craig Piers and published by Jason Aronson. This book was released on 2007 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-Organizing Complexity in Psychological Systems offers a contemporary perspective on the mind through a compilation of original chapters written by some of the leading researchers in the area of complexity theory. In each of the chapters, the authors attempt to use complexity theory to inform and in some cases reformulate existing theories of brain function (Freeman; Grigsby & Osuch), personality (Grigsby & Osuch), psychic organization and structure (Goldstein; Piers), human development (Demos), psychopathology (Palombo; Piers) and psychotherapeutic change (Palombo).
Download or read book Self organizing Linear Neural Networks written by Jie Zhu and published by . This book was released on 1992 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
