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Recent Advances in Intelligent Paradigms and Applications

Inglese · Tascabile

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Descrizione

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Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems. Building these systems has become one of the great goals of modem technology. This goal has both intellectual and economic incentives. The need for such intelligent systems has become more intense in the face of the global connectivity of the internet. There has become an almost insatiable requirement for instantaneous information and decision brought about by this confluence of computing and communication. This requirement can only be satisfied by the construction of innovative intelligent systems. A second and perhaps an even more significant development is the great advances being made in genetics and related areas of biotechnology. Future developments in biotechnology may open the possibility for the development of a true human-silicon interaction at the micro level, neural and cellular, bringing about a need for "intelligent" systems. What is needed to further the development of intelligent systems are tools to enable the representation of human cognition in a manner that allows formal manipulation. The idea of developing such an algebra goes back to Leibniz in the 17th century with his dream of a calculus ratiocinator. It wasn't until two hundred years later beginning with the work of Boole, Cantor and Frege that a formal mathematical logic for modeling human reasoning was developed. The introduction of the modem digital computer during the Second World War by von Neumann and others was a culmination of this intellectual trend.

Info autore

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Riassunto

Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems. Building these systems has become one of the great goals of modem technology. This goal has both intellectual and economic incentives. The need for such intelligent systems has become more intense in the face of the global connectivity of the internet. There has become an almost insatiable requirement for instantaneous information and decision brought about by this confluence of computing and communication. This requirement can only be satisfied by the construction of innovative intelligent systems. A second and perhaps an even more significant development is the great advances being made in genetics and related areas of biotechnology. Future developments in biotechnology may open the possibility for the development of a true human-silicon interaction at the micro level, neural and cellular, bringing about a need for "intelligent" systems. What is needed to further the development of intelligent systems are tools to enable the representation of human cognition in a manner that allows formal manipulation. The idea of developing such an algebra goes back to Leibniz in the 17th century with his dream of a calculus ratiocinator. It wasn't until two hundred years later beginning with the work of Boole, Cantor and Frege that a formal mathematical logic for modeling human reasoning was developed. The introduction of the modem digital computer during the Second World War by von Neumann and others was a culmination of this intellectual trend.

Dettagli sul prodotto

Con la collaborazione di Ajith Abraham (Editore), Janusz Kacprzyk (Editore), Lakhmi C. Jain (Editore), Ajit Abraham (Editore)
Editore Physica-Verlag
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 26.10.2010
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9783790825213
ISBN 978-3-7908-2521-3
Numero di pagine 272
Illustrazioni XVI, 272 p.
Dimensioni (della confezione) 15.6 x 23.4 cm
Peso (della confezione) 447 g
 
Serie Studies in Fuzziness and Soft Computing > 113
Studies in Fuzziness and Soft Computing
Categorie C, Artificial Intelligence, fuzzy logic, engineering, intelligence, agents, Fuzzy, Computational Intelligence, Fuzzy Systems, Intelligent Systems, genetic algorithms, neural network, combinatorial optimization, Evolutionary Algorithms
 

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