title: |
Computational Models of Affect and Fuzzy Logic |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 620 - 627 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Albert van, Daniel S¨¢nchez, Gracian Trivino |
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publication date: |
July 2011 |
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keywords: |
Fuzzy Logic, Affective Computing,
Emotion |
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abstract: |
In light of recent research and empirical findings
a new view on emotion and affect has surfaced.
Within this view `feeling' (core affect) is separated
from Ëmotion' (psychological construction). This
model appears to be a good candidate for a computation model of affect and emotion. We argue that
fuzzy logic is the perfect tool for its implementation,
for the modeling of core affect dynamics, the linguistic description of emotions, the description of a
cognitive rule base, as well as the mapping between
the core affect level and the cognitive level. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |