New Challenges in Applied Intelligence Technologies

The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorit...

Full description

Corporate Author: SpringerLink (Online service)
Other Authors: Katarzyniak, Radoslaw (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Summary:The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic algorithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Applied intelligence technologies are used to build machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers. This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modeling and processing; optimization and combinatorial problems; computer and telecommunication systems
Physical Description:X, 394 p online resource
ISBN:9783540793557