Abstract

In the fields of psychology, AI, and philosophy there has recently been theoretical activity in the cognitively-based modelling of emotions. Using AI methodology it is possible to implement and test these complex models, and in this paper we examine an emotion model called ACRES. We propose a set of requirements any such model should satisfy, and compare ACRES against them. Then, analysing its behaviour in detail, we formulate more requirements and criteria that can be applied to future computational models of emotion. In arguing to support the new requirements, we find that they are desirable for autonomous systems in general. We also show how they can explain the psychological concept of regulation. Finally, we use the concepts developed to make a theoretical distinction between emotion and motivation.