<div>This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced third edition has been fully revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms. <br></div><div><div><br></div><div>Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.</div></div>

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<p><b>Dr. Rudolf Kruse</b> is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany. <b>Dr. Sanaz Mostaghim</b> is a full Professor of Computer Science and <b>Dr.</b> <b>Christian Braune</b> is a Senior Lecturer at the same institution. <b>Dr. Christian Borgelt</b> is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. <b>Dr. Matthias Steinbrecher</b> is a Development Architect at SAP SE, Potsdam, Germany.           </p><p> </p>

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Computational Intelligence: A Methodological Introduction (Texts in Computer Science)

Kruse, Rudolf; Mostaghim, Sanaz; Borgelt, Christian; Braune, Christian; Steinbrecher, Matthias

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