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Other titles in the Studies in Computational Intelligence series:
Studies in Computational Intelligence #134: New Challenges in Applied Intelligence Technologiesby Ngoc Thanh Nguyen
Synopses & Reviews
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.
This book includes 37 chapters which discuss examples of the application of intelligence technologies to five separate fields that reflect the main streams of practical and scientific interest within the computer related community.
Table of Contents
Part 1. Agent and Multiagent Systems.- Part 2. Personal Assistants and Recommender Systems.- Part 3. Knowledge Modelling and Processing.- Part 4. Intelligence Technologies in Optimization and Combinatorial Problems.- Part 5. Intelligence Technologies in Computer and Telecommunication Systems.
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