Computational intelligence. A methodological introduction
The book under review is a textbook that features sub-symbolic approaches developed within the field of Artificial Intelligence, i.e., approaches that are based on representations where elements are non-discrete and processing occurs in parallel. It covers neural networks, fuzzy systems, evolutionary (genetic) algorithms, swarm intelligence in particular ant colony optimization, and probabilistic graphical models (Bayesian networks). The textbook presents the fundamental concepts of these approaches, explains their theoretical background and discusses implementation aspects. It can be used as a companion book for lectures, with exercises and slides to be found on the book's website. With its focus on sub-symbolic approaches, it presents a comprehensive and detailled source of information complementary to other commonly used textbooks in Artificial Intelligence that mostly focus on symbolic approaches.
sub-symbolic and connectionist artificial intelligence
scientific article; zbMATH DE number 6154626