Abstract
Moods and emotions influence human reasoning, most of the time in a positive way. One aspect of reasoning is the revision of beliefs, i.e., how to change a set of beliefs in order to incorporate new information that conflicts with the existing beliefs. We incorporate two influences of affective states on belief maintenance identified by psychologists, in a AI belief revision operation. On one hand, we present an alternative operation to conventional Belief Revision, Affective Revision, that determines the preference between new and old information based on the mood of the agent revising its beliefs. On the other, we show how beliefs can be automatically ordered, in terms of resistance to change, based on (among other aspects) the influence of emotion anticipations on the strength of beliefs.
Keywords
- Revision Operation
- Negative Mood
- Positive Mood
- Belief Revision
- Previous Belief
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Pimentel, C.F., Cravo, M.R. (2005). Affective Revision. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_12
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DOI: https://doi.org/10.1007/11595014_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30737-2
Online ISBN: 978-3-540-31646-6
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