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Towards Computational Cognitive Modeling of Mental Imagery

dc.contributor.authorSima, Jan Frederik
dc.contributor.authorFreksa, Christian
dc.date.accessioned2018-01-08T09:15:58Z
dc.date.available2018-01-08T09:15:58Z
dc.date.issued2012
dc.description.abstractMental imagery is the human ability to imagine and reason with visuo-spatial information. It is crucial for everyday tasks such as describing a route or remembering the form of objects. The so-called imagery debate has been centered around the question how mental imagery is realized, i.e., what structures and algorithms can plausibly explain and model mental imagery. There is, however, little progress on a coherent theory that can sufficiently cover the diversity of the empirical data. This article presents a new theory of mental imagery, which in contrast to other contemporary theories is formalized as a computational cognitive model. We will compare this theory to the contemporary theories using two representative phenomena of mental imagery. We will argue that formalized theories can advance the currently stagnant imagery debate.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11289
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 26, No. 3
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCognitive modeling
dc.subjectImagery debate
dc.subjectMental imagery
dc.subjectVisuo-spatial representations
dc.titleTowards Computational Cognitive Modeling of Mental Imagery
dc.typeText/Journal Article
gi.citation.endPage267
gi.citation.startPage261

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