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Göteborgs universitets publikationer

Probabilistic Computation and Emotion as Self-regulation

Författare och institution:
Rickard von Haugwitz (Institutionen för tillämpad informationsteknologi (GU)); Gordana Dodig-Crnkovic (Institutionen för tillämpad informationsteknologi (Chalmers), Chalmers)
Publicerad i:
Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW '15). ACM, New York, NY, USA,
ISBN:
978-14-50-33393-1
Publikationstyp:
Konferensbidrag, refereegranskat
Publiceringsår:
2015
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
A treatment of emotion as a means of meta-optimisation in cognitive systems is presented, drawing upon research in neuroscience and reinforcement learning. In particular, emotion is motivated and explained against the background of the free-energy principle and the Bayesian brain hypothesis, from the perspective of appraisal theory. Various implications of these models are examined in the context of reinforcement learning through a review of recent research. Based on the information processing view of computation, a probabilistic approach to modelling computational systems is tentatively proposed in order to better handle the sort of probabilistic information processing involved in modelling cognition. By taking information gain to be the essential property of computation, it is suggested that a general computing system may be modelled as updates of parameters defining probability distributions.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Data- och informationsvetenskap
Nyckelord:
infocomputation, cognitive simulation, AI
Postens nummer:
232523
Posten skapad:
2016-02-27 18:32
Posten ändrad:
2016-09-19 09:31

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