Natural Computing and Beyond
Natural Computing and Beyond

Author: Yasuhiro Suzuki

Publisher: Springer Science & Business Media

Published: 2013-04-01

Total Pages: 163

ISBN-13: 4431543945

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This book contains the joint proceedings of the Winter School of Hakodate (WSH) 2011 held in Hakodate, Japan, March 15–16, 2011, and the 6th International Workshop on Natural Computing (6th IWNC) held in Tokyo, Japan, March 28–30, 2012, organized by the Special Interest Group of Natural Computing (SIG-NAC), the Japanese Society for Artificial Intelligence (JSAI). This volume compiles refereed contributions to various aspects of natural computing, ranging from computing with slime mold, artificial chemistry, eco-physics, and synthetic biology, to computational aesthetics.

Beyond Calculation
Beyond Calculation

Author: Peter J. Denning

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 319

ISBN-13: 1461206855

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In March 1997, the Association for Computing Machinery celebrated the fiftieth anniversary of the electronic computer. Computers are everywhere: in our cars, our homes, our supermarkets, at the office, and at the local hospital. But as the contributors to this volume make clear, the scientific, social and economic impact of computers is only now beginning to be felt. These sixteen invited essays on the future of computing take on a dazzling variety of topics, with opinions from such experts as Gordon Bell, Sherry Turkle, Edsger W. Dijkstra, Paul Abraham, Donald Norman, Franz Alt, and David Gelernter. This brilliantly eclectic collection will fascinate everybody with an interest in computers and where they are leading us.

Neuromorphic Computing and Beyond
Neuromorphic Computing and Beyond

Author: Khaled Salah Mohamed

Publisher: Springer Nature

Published: 2020-01-25

Total Pages: 241

ISBN-13: 3030372243

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This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.

Hypercomputation
Hypercomputation

Author: Apostolos Syropoulos

Publisher: Springer Science & Business Media

Published: 2008-12-10

Total Pages: 254

ISBN-13: 0387499709

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This book provides a thorough description of hypercomputation. It covers all attempts at devising conceptual hypermachines and all new promising computational paradigms that may eventually lead to the construction of a hypermachine. Readers will gain a deeper understanding of what computability is, and why the Church-Turing thesis poses an arbitrary limit to what can be actually computed. Hypercomputing is a relatively novel idea. However, the book’s most important features are its description of the various attempts of hypercomputation, from trial-and-error machines to the exploration of the human mind, if we treat it as a computing device.

Natural Computing for Simulation-Based Optimization and Beyond
Natural Computing for Simulation-Based Optimization and Beyond

Author: Silja Meyer-Nieberg

Publisher: Springer

Published: 2019-07-26

Total Pages: 67

ISBN-13: 3030262154

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This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.

Neural Networks and Analog Computation
Neural Networks and Analog Computation

Author: Hava T. Siegelmann

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 193

ISBN-13: 146120707X

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The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models. On a mathematical level, the treatment of neural computations enriches the theory of computation but also explicated the computational complexity associated with biological networks, adaptive engineering tools, and related models from the fields of control theory and nonlinear dynamics. The material in this book will be of interest to researchers in a variety of engineering and applied sciences disciplines. In addition, the work may provide the base of a graduate-level seminar in neural networks for computer science students.

Computational Solutions for Knowledge, Art, and Entertainment: Information Exchange Beyond Text
Computational Solutions for Knowledge, Art, and Entertainment: Information Exchange Beyond Text

Author: Ursyn, Anna

Publisher: IGI Global

Published: 2013-10-31

Total Pages: 539

ISBN-13: 1466646284

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As interactive application software such as apps, installations, and multimedia presentations have become pervasive in everyday life, more and more computer scientists, engineers, and technology experts acknowledge the influence that exists beyond visual explanations. Computational Solutions for Knowledge, Art, and Entertainment: Information Exchange Beyond Text focuses on the methods of depicting knowledge-based concepts in order to assert power beyond a visual explanation of scientific and computational notions. This book combines formal descriptions with graphical presentations and encourages readers to interact by creating visual solutions for science-related concepts and presenting data. This reference is essential for researchers, computer scientists, and academics focusing on the integration of science, technology, computing, art, and mathematics for visual problem solving.

Adaptive and Natural Computing Algorithms
Adaptive and Natural Computing Algorithms

Author: Andrej Dobnikar

Publisher: Springer Science & Business Media

Published: 2011-03-03

Total Pages: 448

ISBN-13: 3642202810

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The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.

Natural Computing Algorithms
Natural Computing Algorithms

Author: Anthony Brabazon

Publisher: Springer

Published: 2015-10-08

Total Pages: 554

ISBN-13: 3662436310

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The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.