Computational intelligence. A methodological introduction
type: Item
instance of: scholarly article
title: Computational intelligence. A methodological introduction
zbMATH Open document ID: 1283.68280
DOI: 10.1007/978-1-4471-5013-8
author: Rudolf Kruse
author: Christian Borgelt
author: Frank Klawonn
author: Christian Moewes
author: Matthias Steinbrecher
author: Pascal Held
published in: Texts in Computer Science
publication date: 2013-04-16T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 68-01
Mathematics Subject Classification ID: 68T01
Mathematics Subject Classification ID: 68T37
Mathematics Subject Classification ID: 62C10
Mathematics Subject Classification ID: 62M45
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 6154626
zbMATH Keywords: sub-symbolic and connectionist artificial intelligence
zbMATH Keywords: neural networks
zbMATH Keywords: fuzzy logic
zbMATH Keywords: Bayesian networks
zbMATH Keywords: ant colony optimization
zbMATH Keywords: swarm intelligence
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-1-4471-5013-8
OpenAlex ID: W4213254664
description: scientific article; zbMATH DE number 6154626