Evolving Connectionist Systems The Knowledge Engineering Approach

• Main Author: Kasabov, Nikola
• Format: eBook Book
• Language: English
• Published: London Springer Verlag London Limited 2007; Springer London, Limited; Springer London; Springer
• Edition: 1. Aufl.
• Subjects: Artificial Intelligence; Bioinformatics; Brain; Computer Science; Computer simulation; Connectionism; Control, Robotics, Mechatronics; Intelligent tutoring systems; Neural computers; Pattern Recognition; Simulation and Modeling; Software Engineering; Computer Informatik
• ISBN: 9781846283451; 1846283450
• DOI: 10.1007/978-1-84628-347-5

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.