Introduction

Abstract

Almost forty years ago, Herbert Simon emphasised the role of emotions in problem solving. Nevertheless, until recently, research on intelligent systems has traditionally been focused on the development of theories and techniques mostly inspired on what was considered the “rational” aspects of human behaviour.

But findings from neuroscience (such as by Damásio and LeDoux’s) and psychology suggesting that emotions are a leading part of what is considered intelligent behaviour, has brought the role of emotions into the limelight. Furthermore, the work by R. Picard, and the creation of the area of Affective Computing, has provided the right frame for research and develop new intelligent systems. Emotions can further be considered, not only as essential for problem solving techniques in intelligent systems but also allow for the construction of systems that interact with humans in more natural and human-like manner. Also, the increasing attention given to Agent-oriented programming makes it more relevant the enhancement of agent deliberation on the grounds of both rationality and emotionality.