Soft Computing In Economics And Finance

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Soft Computing in Economics and Finance

Author : Ludmila Dymowa
Publisher : Springer Science & Business Media
ISBN 13 : 3642177190
Total Pages : 303 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Soft Computing in Economics and Finance by : Ludmila Dymowa

Download or read book Soft Computing in Economics and Finance written by Ludmila Dymowa and published by Springer Science & Business Media. This book was released on 2011-01-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return. In this book, this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.

Soft Computing and its Applications in Business and Economics

Author : Rafik Aziz Aliev
Publisher : Springer
ISBN 13 : 3540444297
Total Pages : 457 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Soft Computing and its Applications in Business and Economics by : Rafik Aziz Aliev

Download or read book Soft Computing and its Applications in Business and Economics written by Rafik Aziz Aliev and published by Springer. This book was released on 2012-08-10 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Soft Computing and its Applications in Business and Economics," or SC-BE for short, is a work whose importance is hard to exaggerate. Authored by leading contributors to soft computing and its applications, SC-BE is a sequel to an earlier book by Professors R. A. Aliev and R. R. Aliev, "Soft Computing and Its Applications," World Scientific, 200l. SC-BE is a self-contained exposition of the foundations of soft computing, and presents a vast compendium of its applications to business, finance, decision analysis and economics. One cannot but be greatly impressed by the wide variety of applications - applications ranging from use of fuzzy logic in transportation and health case systems, to use of a neuro-fuzzy approach to modeling of credit risk in trading, and application of soft computing to e-commerce. To view the contents of SC-BE in a clearer perspective, a bit of history is in order. In science, as in other realms of human activity, there is a tendency to be nationalistic - to commit oneself to a particular methodology and relegate to a position of inferiority or irrelevance all alternative methodologies. As we move further into the age of machine intelligence and automated reasoning, we run into more and more problems which do not lend themselves to solution through the use of our favorite methodology.

Computational Economics

Author : David A. Kendrick
Publisher : Princeton University Press
ISBN 13 : 1400841348
Total Pages : 449 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Computational Economics by : David A. Kendrick

Download or read book Computational Economics written by David A. Kendrick and published by Princeton University Press. This book was released on 2011-10-23 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity

Applied Computational Economics and Finance

Author : Mario J. Miranda
Publisher : MIT Press
ISBN 13 : 9780262633093
Total Pages : 532 pages
Book Rating : 4.6/5 (33 download)

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Book Synopsis Applied Computational Economics and Finance by : Mario J. Miranda

Download or read book Applied Computational Economics and Finance written by Mario J. Miranda and published by MIT Press. This book was released on 2002 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the use of computational methods to solve problems in economics and finance.

13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018

Author : Rafik A. Aliev
Publisher : Springer
ISBN 13 : 3030041646
Total Pages : 988 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 by : Rafik A. Aliev

Download or read book 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 written by Rafik A. Aliev and published by Springer. This book was released on 2018-12-28 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 13th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2018), held in Warsaw, Poland on August 27–28, 2018. It includes contributions from diverse areas of soft computing such as uncertain computation, Z-information processing, neuro-fuzzy approaches, evolutionary computing and others. The topics of the papers include theory of uncertainty computation; theory and application of soft computing; decision theory with imperfect information; neuro-fuzzy technology; image processing with soft computing; intelligent control; machine learning; fuzzy logic in data analytics and data mining; evolutionary computing; chaotic systems; soft computing in business, economics and finance; fuzzy logic and soft computing in the earth sciences; fuzzy logic and soft computing in engineering; soft computing in medicine, biomedical engineering and the pharmaceutical sciences; and probabilistic and statistical reasoning in the social and educational sciences. The book covers new ideas from theoretical and practical perspectives in economics, business, industry, education, medicine, the earth sciences and other fields. In addition to promoting the development and application of soft computing methods in various real-life fields, it offers a useful guide for academics, practitioners, and graduates in fuzzy logic and soft computing fields.

10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

Author : Rafik A. Aliev
Publisher : Springer Nature
ISBN 13 : 3030352498
Total Pages : 997 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 by : Rafik A. Aliev

Download or read book 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 written by Rafik A. Aliev and published by Springer Nature. This book was released on 2019-11-19 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

Evolutionary Computation in Economics and Finance

Author : Shu-Heng Chen
Publisher : Springer Science & Business Media
ISBN 13 : 9783790814767
Total Pages : 476 pages
Book Rating : 4.8/5 (147 download)

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Book Synopsis Evolutionary Computation in Economics and Finance by : Shu-Heng Chen

Download or read book Evolutionary Computation in Economics and Finance written by Shu-Heng Chen and published by Springer Science & Business Media. This book was released on 2002-05-27 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Fuzzy Mathematics in Economics and Engineering

Author : James J. Buckley
Publisher : Physica
ISBN 13 : 3790817953
Total Pages : 267 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Fuzzy Mathematics in Economics and Engineering by : James J. Buckley

Download or read book Fuzzy Mathematics in Economics and Engineering written by James J. Buckley and published by Physica. This book was released on 2013-06-05 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy queuing decision analysis using possibility theory; fuzzy differential equations; fuzzy difference equations; fuzzy partial differential equations; fuzzy eigenvalues based on an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm; fuzzy integral equations. Other important topics covered are fuzzy input-output analysis; fuzzy mathematics of finance; fuzzy PERT (project evaluation and review technique). No previous knowledge of fuzzy sets is needed. The mathematical background is assumed to be elementary calculus.

Fuzzy Engineering Economics with Applications

Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3540708103
Total Pages : 389 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Fuzzy Engineering Economics with Applications by : Cengiz Kahraman

Download or read book Fuzzy Engineering Economics with Applications written by Cengiz Kahraman and published by Springer. This book was released on 2008-09-20 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy set approaches are suitable to use when the modeling of human knowledge is necessary and when human evaluations are needed. Fuzzy set theory is recognized as an important problem modeling and solution technique. It has been studied ext- sively over the past 40 years. Most of the early interest in fuzzy set theory pertained to representing uncertainty in human cognitive processes. Fuzzy set theory is now - plied to problems in engineering, business, medical and related health sciences, and the natural sciences. This book handles the fuzzy cases of classical engineering e- nomics topics. It contains 15 original research and application chapters including different topics of fuzzy engineering economics. When no probabilities are available for states of nature, decisions are given under uncertainty. Fuzzy sets are a good tool for the operation research analyst facing unc- tainty and subjectivity. The main purpose of the first chapter is to present the role and importance of fuzzy sets in the economic decision making problem with the literature review of the most recent advances.

The Essentials of Machine Learning in Finance and Accounting

Author : Mohammad Zoynul Abedin
Publisher : Routledge
ISBN 13 : 1000394123
Total Pages : 275 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis The Essentials of Machine Learning in Finance and Accounting by : Mohammad Zoynul Abedin

Download or read book The Essentials of Machine Learning in Finance and Accounting written by Mohammad Zoynul Abedin and published by Routledge. This book was released on 2021-06-20 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

The Oxford Handbook of Computational Economics and Finance

Author : Shu-Heng Chen
Publisher : Oxford University Press
ISBN 13 : 0199844380
Total Pages : 785 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis The Oxford Handbook of Computational Economics and Finance by : Shu-Heng Chen

Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen and published by Oxford University Press. This book was released on 2018-01-12 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Fuzzy Models in Economics

Author : Gorkhmaz Imanov
Publisher : Springer Nature
ISBN 13 : 3030612821
Total Pages : 113 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Fuzzy Models in Economics by : Gorkhmaz Imanov

Download or read book Fuzzy Models in Economics written by Gorkhmaz Imanov and published by Springer Nature. This book was released on 2020-10-07 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely guide to fuzzy methods applied to the analysis of socioeconomic systems. It provides readers with a comprehensive and up-to-date overview of the algorithms, including the theory behind them, as well as practical considerations, current limitations and solutions. Each chapter focuses on a different economic problem, explaining step by step the process to approach it, using the corresponding fuzzy tools. The book covers elements of intuitionistic fuzzy logics, fuzzy entropy and the fuzzy DEMATEL method, a fuzzy approach to calculate the financial stability index. It also reports on some new models of social, financial and ecological security, and on a novel fuzzy method for evaluating the quality of development of information economy.

Programming Languages and Systems in Computational Economics and Finance

Author : Soren Bo Nielsen
Publisher : Springer Science & Business Media
ISBN 13 : 146151049X
Total Pages : 462 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Programming Languages and Systems in Computational Economics and Finance by : Soren Bo Nielsen

Download or read book Programming Languages and Systems in Computational Economics and Finance written by Soren Bo Nielsen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.

Programming Languages and Systems in Computational Economics and Finance

Author : Søren S. Nielsen
Publisher : Springer Science & Business Media
ISBN 13 : 9781402071393
Total Pages : 442 pages
Book Rating : 4.0/5 (713 download)

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Book Synopsis Programming Languages and Systems in Computational Economics and Finance by : Søren S. Nielsen

Download or read book Programming Languages and Systems in Computational Economics and Finance written by Søren S. Nielsen and published by Springer Science & Business Media. This book was released on 2002-08-31 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The developments within the computationally and numerically oriented areas of Operations Research, Finance, Statistics and Economics have been significant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of invited, peer-reviewed papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a wide range of relevant topics; Models and Modelling in Operations Research and Economic (Matt Saltzman; Pere Gomis-Porqueras and Alex Haro; Jerome Kruiser; Don Shobrys), novel High-level and Object-Oriented approaches to programming (Jurgen Doornik; Chris Birchenhall; Christopher Baum; Tim Hultberg), through advanced uses of Maple and MATLAB (Des Higham and Peter Kloeden; Ric Herbert, Jerzy Ombach and Jolanta Jarnicka; George Lindfield and John Penny), and applications and solution of Differential Equations in Finance (Peter HonorÃ© and Rolf Poulsen; Jens Hugger; Sasha Cyganowski and Lars GrÃ1⁄4ne). Each article is written from a personal, explorative perspective that invites the reader to discover new approaches to solving old problems. In the longer run it is hoped that this volume will facilitate cross-fertilization among the computational fields.

Computational Intelligence: A Compendium

Author : John Fulcher
Publisher : Springer
ISBN 13 : 3540782931
Total Pages : 1182 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence: A Compendium by : John Fulcher

Download or read book Computational Intelligence: A Compendium written by John Fulcher and published by Springer. This book was released on 2008-05-28 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions from leading experts in Computational Intelligence. The main focus of the compendium is on applied methods, tried-and-proven as being effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. This state-of- handbook-style book has contributions by leading experts.

Soft Computing Applications in Business

Author : Bhanu Prasad
Publisher : Springer
ISBN 13 : 3540790055
Total Pages : 296 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Soft Computing Applications in Business by : Bhanu Prasad

Download or read book Soft Computing Applications in Business written by Bhanu Prasad and published by Springer. This book was released on 2008-04-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field. The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques. The businesses or business problems addressed in this book include (or very closely related to): analysis of correlations between currency exchange rates, analysis of USA banks and Moody’s bank financial strength rating, arrears management, business risk identification, company audit fee evaluation, dental treatments, business internal control, intelligent tutoring systems and educational assessment, modeling agent behavior, motor insurance industry, personal loan defaults, pricing strategies for increasing the market share, pricing strategies in supply chain management, probabilistic sales forecasting, user relevance feedback analysis for online text retrieval, and world crude oil spot price forecasting.

Computational Intelligence

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
ISBN 13 : 3642017991
Total Pages : 726 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Intelligence by : Christine L. Mumford

Download or read book Computational Intelligence written by Christine L. Mumford and published by Springer Science & Business Media. This book was released on 2009-07-21 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.