Tomar R., Hina M.D. Innovative Trends in Computational Intelligence

New York: Springer, 2022. — 295 p.This book addresses the key problems that Computational Intelligence (CI) aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions adaptively. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing (NLP), text mining, and other solutions involving Artificial Intelligence methodologies.Computational Intelligence is not to be interchanged with Artificial Intelligence, even if the two are related. Artificial Intelligence is a domain that deals with the design, development, and implementation of various systems capable of mimicking human intelligence. Computational Intelligence, for its part, is a mere subset of Artificial Intelligence. Computational Intelligence makes use of biologically or linguistically motivated paradigms in solving a computational problem. It is the preferred solution over the usual and traditional mathematical modeling in addressing complex real-world problems because the following conditions hold: (1) the problem involves a computational process that is too complex for mathematical reasoning; (2) the computational problem contains some uncertainties, and (3) the computational process is by its nature a randomly determined one (heuristic). For this reason, nature-inspired phenomena are mimicked and computational solutions inspired by such phenomena are adapted. Nowadays, computational intelligence has evolved to include neural networks, fuzzy logic systems, and evolutionary computation, as well as social reasoning, artificial life, ambient intelligence, Deep Learning (DL), and the likes. This book contains twelve chapters, each of which presents commonly observed topics and problems in which various computation intelligence solutions are adapted.