An Introduction To Natural Computation

Author : Dana H. Ballard
Publisher : MIT Press
Page : 338 pages
File Size : 55,6 Mb
Release : 1999-01-22
Category : Psychology
ISBN : 0262522586

Get Book

An Introduction to Natural Computation by Dana H. Ballard Pdf

This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models—ranging from neural network learning through reinforcement learning to genetic learning—and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.

Author : Anonim
Publisher : Unknown
Page : 8 pages
File Size : 49,7 Mb
Release : 1700
Category : Electronic
ISBN : OCLC:41232053

Get Book

A Catalogue of Choice and Valuable Books, Both Antient and Modern by Anonim Pdf

Author : Whitman Richards
Publisher : MIT Press (MA)
Page : 584 pages
File Size : 50,9 Mb
Release : 1988
Category : Artificial intelligence
ISBN : UOM:39015014198389

Get Book

Natural Computation by Whitman Richards Pdf

Designed for the MIT course, "Natural Computation, this extensive book of readings combines mathematics, artificial intelligence, computer science, experimental psychology, and neurophysiology in studying perception. Mathematics is emphasized for making perceptual inferences and the spectrum of mathematical techniques used is very broad. While the more than thirty readings focus primarily on vision, they also encompass the study of sound perception and the interpretation and application of forces including movement.Each article is a self contained example of how a perceptual problem may be tackled and solved. For example, what makes wood look like wood not like stone, sand, or grass? How can we represent three dimensional shapes when the same shape is rarely seen in exactly the same way? Each of the five sections is preceded by an introduction and the book concludes with problem sets.Whitman A. Richards is Professor in the Brain and Cognitive Science Department at MIT. A Bradford Book.

Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 43,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941

Get Book

Introduction to Evolutionary Computing by Agoston E. Eiben,J.E. Smith Pdf

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Author : Yong Liu,Lipo Wang,Liang Zhao,Zhengtao Yu
Publisher : Springer Nature
Page : 1119 pages
File Size : 47,5 Mb
Release : 2019-11-06
Category : Technology & Engineering
ISBN : 9783030325916

Get Book

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by Yong Liu,Lipo Wang,Liang Zhao,Zhengtao Yu Pdf

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

Author : Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang
Publisher : Elsevier
Page : 788 pages
File Size : 45,6 Mb
Release : 2020-01-18
Category : Technology & Engineering
ISBN : 9780128204047

Get Book

Brain and Nature-Inspired Learning, Computation and Recognition by Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang Pdf

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 40,5 Mb
Release : 2019-10-01
Category : Computers
ISBN : 9780262042840

Get Book

Introduction to Natural Language Processing by Jacob Eisenstein Pdf

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Author : Silja Meyer-Nieberg,Nadiia Leopold,Tobias Uhlig
Publisher : Springer
Page : 60 pages
File Size : 50,8 Mb
Release : 2019-07-26
Category : Business & Economics
ISBN : 9783030262150

Get Book

Natural Computing for Simulation-Based Optimization and Beyond by Silja Meyer-Nieberg,Nadiia Leopold,Tobias Uhlig Pdf

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.

Author : Frank Neumann,Carsten Witt
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 41,9 Mb
Release : 2010-11-04
Category : Mathematics
ISBN : 9783642165443

Get Book

Bioinspired Computation in Combinatorial Optimization by Frank Neumann,Carsten Witt Pdf

Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.

Author : Leandro Nunes de Castro
Publisher : CRC Press
Page : 698 pages
File Size : 42,7 Mb
Release : 2006-06-02
Category : Science
ISBN : 9781584886433

Get Book

Fundamentals of Natural Computing by Leandro Nunes de Castro Pdf

Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques and important applications of nature-based computing. This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing. Fundamentals of Natural Computing is a self-contained introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields including engineering, computer science, biological modeling, and bioinformatics.

Author : Cristopher Moore,Stephan Mertens
Publisher : OUP Oxford
Page : 1498 pages
File Size : 48,6 Mb
Release : 2011-08-11
Category : Science
ISBN : 9780191620805

Get Book

The Nature of Computation by Cristopher Moore,Stephan Mertens Pdf

Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student. This book bridges these gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view. The authors start with a lucid and playful explanation of the P vs. NP problem, explaining why it is so fundamental, and so hard to resolve. They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing. At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible. The book is intended for graduate and undergraduate students, scientists from other areas who have long wanted to understand this subject, and experts who want to fall in love with this field all over again.

Author : Dana H. Ballard
Publisher : MIT Press
Page : 457 pages
File Size : 41,5 Mb
Release : 2015-02-20
Category : Computers
ISBN : 9780262028615

Get Book

Brain Computation as Hierarchical Abstraction by Dana H. Ballard Pdf

An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is.

Author : Lipo Wang,Ke Chen,Yew Soon Ong
Publisher : Springer
Page : 1326 pages
File Size : 54,9 Mb
Release : 2005-08-25
Category : Computers
ISBN : 9783540318637

Get Book

Advances in Natural Computation by Lipo Wang,Ke Chen,Yew Soon Ong Pdf

This book and its sister volumes, i.e., LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference on Natural Computation (ICNC 2005), jointly held with the 2nd International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005, LNAI vols. 3613 and 3614) from 27 to 29 August 2005 in Changsha, Hunan, China.

Author : Martyn Amos
Publisher : Springer Science & Business Media
Page : 180 pages
File Size : 41,5 Mb
Release : 2005-10-17
Category : Science
ISBN : 9783540281313

Get Book

Theoretical and Experimental DNA Computation by Martyn Amos Pdf

This book provides a broad overview of the entire field of DNA computation, tracing its history and development. It contains detailed descriptions of all major theoretical models and experimental results to date and discusses potential future developments. It concludes by outlining the challenges currently faced by researchers in the field. This book will be a useful reference for researchers and students, as well as an accessible introduction for those new to the field.

Author : Anthony Brabazon,Michael O'Neill,Seán McGarraghy
Publisher : Springer
Page : 554 pages
File Size : 52,6 Mb
Release : 2015-10-08
Category : Computers
ISBN : 9783662436318

Get Book

Natural Computing Algorithms by Anthony Brabazon,Michael O'Neill,Seán McGarraghy Pdf

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.