Grammatical Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 1461504473
Total Pages : 157 pages
Book Rating : 4.74/5 ( download)

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Book Synopsis Grammatical Evolution by : Michael O'Neill

Download or read book Grammatical Evolution written by Michael O'Neill and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.

The Evolution of Grammar

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Publisher : University of Chicago Press
ISBN 13 : 0226086658
Total Pages : 420 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis The Evolution of Grammar by : Joan Bybee

Download or read book The Evolution of Grammar written by Joan Bybee and published by University of Chicago Press. This book was released on 1994-11-15 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Joan Bybee and her colleagues present a new theory of the evolution of grammar that links structure and meaning in a way that directly challenges most contemporary versions of generative grammar. This study focuses on the use and meaning of grammatical markers of tense, aspect, and modality and identifies a universal set of grammatical categories. The authors demonstrate that the semantic content of these categories evolves gradually and that this process of evolution is strikingly similar across unrelated languages. Through a survey of seventy-six languages in twenty-five different phyla, the authors show that the same paths of change occur universally and that movement along these paths is in one direction only. This analysis reveals that lexical substance evolves into grammatical substance through various mechanisms of change, such as metaphorical extension and the conventionalization of implicature. Grammaticization is always accompanied by an increase in frequency of the grammatical marker, providing clear evidence that language use is a major factor in the evolution of synchronic language states. The Evolution of Grammar has important implications for the development of language and for the study of cognitive processes in general.

Foundations in Grammatical Evolution for Dynamic Environments

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Publisher : Springer Science & Business Media
ISBN 13 : 3642003133
Total Pages : 200 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Foundations in Grammatical Evolution for Dynamic Environments by : Ian Dempsey

Download or read book Foundations in Grammatical Evolution for Dynamic Environments written by Ian Dempsey and published by Springer Science & Business Media. This book was released on 2009-04-07 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.

Handbook of Grammatical Evolution

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Publisher : Springer
ISBN 13 : 3319787179
Total Pages : 497 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Handbook of Grammatical Evolution by : Conor Ryan

Download or read book Handbook of Grammatical Evolution written by Conor Ryan and published by Springer. This book was released on 2018-09-11 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials

State of the Art on Grammatical Inference Using Evolutionary Method

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Publisher : Academic Press
ISBN 13 : 0128221542
Total Pages : 230 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis State of the Art on Grammatical Inference Using Evolutionary Method by : Hari Mohan Pandey

Download or read book State of the Art on Grammatical Inference Using Evolutionary Method written by Hari Mohan Pandey and published by Academic Press. This book was released on 2021-11-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods Provides an understanding of premature convergence as well as genetic algorithms Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms

Foundations of Language

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Publisher : OUP Oxford
ISBN 13 : 0191574015
Total Pages : 498 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Foundations of Language by : Ray Jackendoff

Download or read book Foundations of Language written by Ray Jackendoff and published by OUP Oxford. This book was released on 2002-01-24 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does human language work? How do we put ideas into words that others can understand? Can linguistics shed light on the way the brain operates? Foundations of Language puts linguistics back at the centre of the search to understand human consciousness. Ray Jackendoff begins by surveying the developments in linguistics over the years since Noam Chomsky's Aspects of the Theory of Syntax. He goes on to propose a radical re-conception of how the brain processes language. This opens up vivid new perspectives on every major aspect of language and communication, including grammar, vocabulary, learning, the origins of human language, and how language relates to the real world. Foundations of Language makes important connections with other disciplines which have been isolated from linguistics for many years. It sets a new agenda for close cooperation between the study of language, mind, the brain, behaviour, and evolution.

The Evolution of Case Grammar

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Publisher :
ISBN 13 : 9783944675848
Total Pages : 252 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis The Evolution of Case Grammar by : Remi Van Trijp

Download or read book The Evolution of Case Grammar written by Remi Van Trijp and published by . This book was released on 2017-06-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are few linguistic phenomena that have seduced linguists so skillfully as grammatical case has done. Ever since Panini (4th Century BC), case has claimed a central role in linguistic theory and continues to do so today. However, despite centuries worth of research, case has yet to reveal its most important secrets. This book offers breakthrough explanations for the understanding of case through agent-based experiments in cultural language evolution. The experiments demonstrate that case systems may emerge because they have a selective advantage for communication: they reduce the cognitive effort that listeners need for semantic interpretation, while at the same time limiting the cognitive resources required for doing so.

Grammar-Based Feature Generation for Time-Series Prediction

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Publisher : Springer
ISBN 13 : 9812874119
Total Pages : 105 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Grammar-Based Feature Generation for Time-Series Prediction by : Anthony Mihirana De Silva

Download or read book Grammar-Based Feature Generation for Time-Series Prediction written by Anthony Mihirana De Silva and published by Springer. This book was released on 2015-02-14 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.

Applications of Evolutionary Computation

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Publisher : Springer
ISBN 13 : 3642205259
Total Pages : 395 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Applications of Evolutionary Computation by : Cecilia Di Chio

Download or read book Applications of Evolutionary Computation written by Cecilia Di Chio and published by Springer. This book was released on 2011-04-27 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

Grammatical Man

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Publisher :
ISBN 13 : 9780140225044
Total Pages : 319 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Grammatical Man by : Jeremy Campbell

Download or read book Grammatical Man written by Jeremy Campbell and published by . This book was released on 1984 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: