This second edition of Evolving Connectionist Systems presents
generic computational models and techniques that can be used for
the development of evolving, adaptive modelling systems, as well as
new trends including computational neuro-genetic modelling and
quantum information processing related to evolving systems. New
applications, such as autonomous robots, adaptive artificial life
systems and adaptive decision support systems are also covered.
The models and techniques used are connectionist-based and,
where possible, existing connectionist models have been used and
extended. Divided into four parts the book opens with evolving
processes in nature; looks at methods and techniques that can be
used in evolving connectionist systems; then covers various
applications in bioinformatics and brain studies; finishing with
applications for intelligent machines.
Aimed at all those interested in developing adaptive models and
systems to solve challenging real world problems in computer
science and engineering.
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