{"product_id":"swarm-intelligence","title":"Swarm Intelligence","description":"\u003cp\u003eTraditional methods for creating intelligent computational systems have\u003cbr\u003eprivileged private \"internal\" cognitive and computational processes. In\u003cbr\u003econtrast, \u003ci\u003eSwarm Intelligence\u003c\/i\u003e argues that human\u003cbr\u003eintelligence derives from the interactions of individuals in a social world\u003cbr\u003eand further, that this model of intelligence can be effectively applied to\u003cbr\u003eartificially intelligent systems. The authors first present the foundations of\u003cbr\u003ethis new approach through an extensive review of the critical literature in\u003cbr\u003esocial psychology, cognitive science, and evolutionary computation. They\u003cbr\u003ethen show in detail how these theories and models apply to a new\u003cbr\u003ecomputational intelligence methodology—particle swarms—which focuses\u003cbr\u003eon adaptation as the key behavior of intelligent systems. Drilling down\u003cbr\u003estill further, the authors describe the practical benefits of applying particle\u003cbr\u003eswarm optimization to a range of engineering problems. Developed by\u003cbr\u003ethe authors, this algorithm is an extension of cellular automata and\u003cbr\u003eprovides a powerful optimization, learning, and problem solving method. \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis important book presents valuable new insights by exploring the\u003cbr\u003eboundaries shared by cognitive science, social psychology, artificial life,\u003cbr\u003eartificial intelligence, and evolutionary computation and by applying these\u003cbr\u003einsights to the solving of difficult engineering problems. Researchers and\u003cbr\u003egraduate students in any of these disciplines will find the material\u003cbr\u003eintriguing, provocative, and revealing as will the curious and savvy\u003cbr\u003ecomputing professional.\u003cbr\u003e\u003cbr\u003e* Places particle swarms within the larger context of intelligent\u003cbr\u003eadaptive behavior and evolutionary computation. \u003cbr\u003e* Describes recent results of experiments with the particle swarm\u003cbr\u003eoptimization (PSO) algorithm \u003cbr\u003e* Includes a basic overview of statistics to ensure readers can\u003cbr\u003eproperly analyze the results of their own experiments using the\u003cbr\u003ealgorithm. \u003cbr\u003e* Support software which can be downloaded from the publishers\u003cbr\u003ewebsite, includes a Java PSO applet, C and Visual Basic source\u003cbr\u003ecode.\u003c\/p\u003e","brand":"Elsevier S \u0026 T","offers":[{"title":"perpetual","offer_id":45202613076065,"sku":"9781558605954","price":43.75,"currency_code":"KWD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0268\/9869\/4241\/files\/480_5df06eb4-b984-41ac-a09d-6046e03c0ec7.jpg?v=1781737216","url":"https:\/\/ebooks.aafaqeducation.com\/products\/swarm-intelligence","provider":"ebook.aafaqeducation","version":"1.0","type":"link"}