{"product_id":"computational-intelligence-a-methodological-introduction-9783030422264","title":"Computational Intelligence: A Methodological Introduction","description":"\u003cp\u003e • Author(s): Rudolf Kruse\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eComputational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise and uncertain knowledge and thus also facilitate finding solutions that are approximative, manageable and robust at the same time. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFully updated, this new edition of the authoritative textbook provides a clear and logical introduction to Computational Intelligence, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. Rather than aim for completeness, the goal is to give a methodical introduction, supporting fundamental concepts and their implementations with explanation of the theoretical background of proposed problem solutions. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eOffers \u003ci\u003e\u003cb\u003enew material\u003c\/b\u003e\u003c\/i\u003e on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eContains numerous classroom-tested examples and definitions \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDiscusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks\u003c\/li\u003e\n\u003cli\u003eReviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003eThis seminal textbook is primarily meant as a companion book for lectures on the covered topics in the area of computational intelligence. However, it is also eminently suitable as a guidebook for self-study by students and practitioners from industry and commerce.\u003cbr\u003e\u003cb\u003eDr. Rudolf Kruse\u003c\/b\u003e 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. \u003cb\u003eDr. Sanaz Mostaghim\u003c\/b\u003e is a full Professor of Computer Science and \u003cb\u003eDr.\u003c\/b\u003e \u003cb\u003eChristian Braune\u003c\/b\u003e is a Senior Lecturer at the same institution. \u003cb\u003eDr. Christian Borgelt\u003c\/b\u003e is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. \u003cb\u003eDr. Matthias Steinbrecher\u003c\/b\u003e is a Development Architect at SAP SE, Potsdam, Germany.","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45277514367127,"sku":"9783030422264","price":6185.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030422264.webp?v=1769288602","url":"https:\/\/atlanticbooks.com\/products\/computational-intelligence-a-methodological-introduction-9783030422264","provider":"Atlantic Books","version":"1.0","type":"link"}