Computational Intelligence: An Introduction, Second Edition
offers an in-depth exploration into the adaptive mechanisms that
enable intelligent behaviour in complex and changing environments.
The main focus of this text is centred on the computational
modelling of biological and natural intelligent systems,
encompassing swarm intelligence, fuzzy systems, artificial neutral
networks, artificial immune systems and evolutionary computation.
Engelbrecht provides readers with a wide knowledge of
Computational Intelligence (CI) paradigms and algorithms; inviting
readers to implement and problem solve real-world, complex problems
within the CI development framework. This implementation framework
will enable readers to tackle new problems without any difficulty
through a single Java class as part of the CI library.
Key features of this second edition include:
* A tutorial, hands-on based presentation of the material.
* State-of-the-art coverage of the most recent developments in
computational intelligence with more elaborate discussions on
intelligence and artificial intelligence (AI).
* New discussion of Darwinian evolution versus Lamarckian
evolution, also including swarm robotics, hybrid systems and
artificial immune systems.
* A section on how to perform empirical studies; topics including
statistical analysis of stochastic algorithms, and an open source
library of CI algorithms.
* Tables, illustrations, graphs, examples, assignments, Java code
implementing the algorithms, and a complete CI implementation and
experimental framework.
Computational Intelligence: An Introduction, Second
Edition is essential reading for third and fourth year
undergraduate and postgraduate students studying CI. The first
edition has been prescribed by a number of overseas universities
and is thus a valuable teaching tool. In addition, it will also be
a useful resource for researchers in Computational Intelligence and
Artificial Intelligence, as well as engineers, statisticians,
operational researchers, and bioinformaticians with an interest in
applying AI or CI to solve problems in their domains.
Check out href=’http://www.ci.cs.up.ac.za/’>http://www.ci.cs.up.ac.za for
examples, assignments and Java code implementing the
algorithms.
Sobre o autor
Andries P. Engelbrecht is a full professor in Computer Science at the University of Pretoria, South Africa. He holds a Ph D (Computer Science) from the University of Stellenbosch (1999) and has been actively involved in the research of computational intelligence since 1992. His group performs research in artificial neural networks, swarm intelligence, evolutionary computation, artificial immune systems, data and text mining, image analysis and multi-agent systems.? The research done is both theoretical where the objective is to develop new algorithms or to improve existing algorithms, and also application oriented, making use of techniques from computational intelligence to solve real-world problems. Professor Engelbrecht is actively involved in consultation to industry and contract research for industry.
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