Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as ...
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Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.
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Add this copy of Innovations in Neural Information Paradigms and to cart. $32.50, new condition, Sold by Scholars Attic rated 5.0 out of 5 stars, ships from Lake Barrington, IL, UNITED STATES, published 2009 by Springer.
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New book-No international shipping available[N-sch] Sewn binding. Cloth over boards. 291 p. Contains: Illustrations, black & white, Tables, black & white, Figures. Studies in Computational Intelligence, 247. Audience: General/trade.
Add this copy of Innovations in Neural Information Paradigms and to cart. $168.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2009 by Springer.
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New. Print on demand Sewn binding. Cloth over boards. 293 p. Contains: Unspecified, Tables, black & white, Figures. Studies in Computational Intelligence, 247.
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Fine. Sewn binding. Cloth over boards. 293 p. Contains: Unspecified, Tables, black & white, Figures. Studies in Computational Intelligence, 247. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Innovations in Neural Information Paradigms and to cart. $166.68, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2009 by Springer.
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New. Sewn binding. Cloth over boards. 293 p. Contains: Unspecified, Tables, black & white, Figures. Studies in Computational Intelligence, 247. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
