Artificial Intelligence White Papers
Beyond Shallow Models of Emotion
Overview There is a huge diversity of definitions of “emotion” some of which are associated with relatively shallow behavioural or measurable criteria or introspectable experiences, for instance use of facial expression, physiological measures, activity of specific regions of the brain, or the experience of bodily changes or desires, such as wanting to run away, or to hurt someone. There are also deeper theories that link emotional states to a variety of mechanisms within an information processing architecture that are not easily observable or measurable, not least because they are components of virtual machines rather than physical or physiological mechanisms. We can compare this with “shallow” definitions of chemical compounds such as salt, sugar, or water, in terms of their appearance and observed behaviours in various test situations, and their definitions in the context of a theory of the architecture of matter which is mostly concerned with postulated sub-atomic entities and and a web of relationships between them which cannot easily be observed, so that theories about them are not easily confirmed or refuted. This paper outlines an approach to the search for deeper explanatory theories of emotions and many other kinds of mental phenomena, which includes an attempt to define the concepts in terms of the underlying information processing architectures and the classes of states and processes that they can support.
| Publisher | University of Birmingham | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | August 2003 | Downloads | 11 |
| Format | White Papers | ||
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