{"product_id":"learning-automata-and-their-applications-to-intelligent-systems","title":"Learning Automata and Their Applications to Intelligent Systems","description":"\u003cp\u003e\u003cb\u003eComprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eLearning Automata and Their Applications to Intelligent Systems\u003c\/i\u003e provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. \u003c\/p\u003e\u003cp\u003eAs noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. \u003c\/p\u003e\u003cp\u003eThe existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. \u003c\/p\u003e\u003cp\u003eWritten by two highly qualified academics with significant experience in the field, \u003ci\u003eLearning Automata and Their Applications to Intelligent Systems\u003c\/i\u003e covers such topics as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMathematical analysis of the behavior of learning automata, along with suitable learning algorithms\u003c\/li\u003e\n\u003cli\u003eTwo application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line\u003c\/li\u003e\n\u003cli\u003eDemonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization\u003c\/li\u003e\n\u003cli\u003eHow to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probability\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eA timely text in a rapidly developing field, \u003ci\u003eLearning Automata and Their Applications to Intelligent Systems\u003c\/i\u003e is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54012691448152,"sku":null,"price":122.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394188499__67c1f3b6f3507_58549f59-f4b1-4ed2-b5b1-e7af303dc7c3.jpg?v=1741159012","url":"https:\/\/agendabookshop.com\/products\/learning-automata-and-their-applications-to-intelligent-systems","provider":"Agenda Bookshop","version":"1.0","type":"link"}