Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
Springer; 1st edition
An overview of recent developments in artificial intelligence and neural networks may be found in the document “Progresses in Artificial Intelligence and Neural Systems,” which is available in portable document format (PDF). Modeling, prediction, and recognition are three areas in which artificial intelligence (AI) techniques have shown to be particularly effective in assisting human–machine interaction.
In the meantime, the problem of emotion has garnered more consideration as a result of its usefulness in achieving human-like interaction with robots. This is because of the fact that emotion is a fundamental part of human experience. The precise issue is how to derive benefit from the emotional characterization of the interactions between people in order to make the social and emotional credibility of computer systems that interface with those people.
This book examines how and to what degree existing sophisticated computational intelligence tools can support multidisciplinary research on the appropriate system reactions to human sentiments and expressions in interactive scenarios. It is helpful for practitioners and researchers in academia and industry to have access to a resource that discusses the most recent advancements in current analysis, progressive techniques, and future difficulties in AI.
PLEASE TAKE NOTICE That the only component of this offering is the PDF version of the ebook titled “Progresses in Artificial Intelligence and Neural Systems (Smart Innovation; Systems and Technologies Book 184).” There are no access codes contained within.