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The DOI matches its Crossref record; 153 of the 153 references it cites were found in a registry or an index.

Theories of emotion causation: A review

Open access
Moors, Agnes·2009·Cognition & Emotion

Abstract

I present an overview of emotion theories, organised around the question of emotion causation. I argue that theories of emotion causation should ideally address the problems of elicitation, intensity, and differentiation. Each of these problems can be divided into a subquestion that asks about the relation between stimuli and emotions (i.e., the functional level of process description, cf. Marr, 1982) and a subquestion that asks about the mechanism and representations that intervene (i.e., the algorithmic level of process description). The overview reveals that theories of emotion causation sometimes differ with regard to the kind of process that they hold responsible for emotion causation. More precisely, they hold different assumptions regarding the conditions under which the process is supposed to operate (optimal versus suboptimal), the format of the representations involved (propositional versus perceptual), and the object or input of the central process (stimulus versus responses/experience). Further, the overview reveals that theories of emotion causation sometimes differ with regard to the level of process description that they focus on. Finally, the overview brings to light several similarities among the theories discussed.

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Metadata

Authors
Moors, A.
Venue
Cognition & Emotion
Published
2009-06
Volume
23
Issue
4
Pages
625-662
ISSN
  • 0269-9931 (ISSN-L)
  • 1464-0600
OpenAlex
W2145665826
Cited by
472
References
153
FWCI
17.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Theories of emotion causation: A review. https://app.cochat.ai/papers/10.1080/02699930802645739
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Moors, A. (2009). Theories of emotion causation: A review. Cognition & Emotion. https://doi.org/10.1080/02699930802645739

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.