The DOI matches its Crossref record.
Mimesis as Make-Beleive
Abstract
Journal Article Mimesis as Make-Believe Get access Mimesis as Make-Believe: on the Foundations of the Representational Arts. By Kendall L. Walton. (Cambridge, Mass.: Harvard UP, 1990. Pp. 450. Price not given.) Noël Carroll Noël Carroll University of Wisconsin at Madison Search for other works by this author on: Oxford Academic Google Scholar The Philosophical Quarterly, Volume 45, Issue 178, January 1995, Pages 93–99, https://doi.org/10.2307/2219853 Published: 01 January 1995
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Citations
Cited by
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Yannakakis, G. N., & Togelius, J. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.6 · Cited by 470
Pretense, Counterfactuals, and Bayesian Causal Models: Why What Is Not Real Really Matters
Weisberg, D. S., & Gopnik, A. (2013) · Cognitive Science · doi:10.1111/cogs.12069 · Cited by 166
Metadata
- Authors
- Carroll, N., & Walton, K. L.
- Venue
- The Philosophical Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-01
- Volume
- 45
- Issue
- 178
- Pages
- 93
- ISSN
- 0031-8094 (ISSN-L)
- OpenAlex
- W2317280618
- Cited by
- 486
- References
- 0
- FWCI
- 53.05
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Mimesis as Make-Beleive. https://app.cochat.ai/papers/10.2307/2219853
- The paper
- Carroll, N., & Walton, K. L. (1995). Mimesis as Make-Beleive. The Philosophical Quarterly. https://doi.org/10.2307/2219853
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.