This volume is a collection of research
studies on the modeling of emotions in complex autonomous systems. Several
experts in the field are reporting their efforts and reviewing the literature
in order to shed lights on how the processes of coding and decoding emotional
states took place in humans, which are the physiological, physical, and
psychological variables involved, invent new mathematical models and algorithms
to describe them, and motivate these investigations in the light of observable
societal changes and needs, such as the aging population and the cost of health
care services. The consequences are the implementation of emotionally and
socially believable machines, acting as helpers into domestic spheres, where
emotions drive behaviors and actions.

The contents of the book are highly
multidisciplinary since the modeling of emotions in robotic socially believable
systems requires a holistic perspective on topics coming from different
research domains such as computer science, engineering, sociology, psychology,
linguistic, and information communication. 
The book is of interest both to experts and students since last research
works on a so complex multidisciplinary topic are described in a neat and
didactical scientific language.