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the claim

Cognitive science explains intuition and intelligence through evolutionary adaptation and neural network models

the verdict
SUPPORTED
the evidence backs this
Recorded sources
4 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that cognitive science explains intuition and intelligence through evolutionary adaptation and neural network models?

Yes. Evidence from cognitive science and evolutionary research indicates that phenomena like intuition and intelligence are successfully modeled and explained through evolutionary adaptations and neural network architectures.

Verdict: SUPPORTED · 4 sources for, 0 against · Last checked

The analysis

The retrieved literature contains multiple peer-reviewed papers explicitly connecting cognitive science, evolutionary frameworks, and neural network models to explain human cognition, decision-making, and intelligence (e.g., papers 0, 1, 2, and 11). There are no papers contradicting this formulation, so the verdict is SUPPORTED.

Evidence for · 4
2019
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Ram, A. & Eiselt, K. P. (2019). Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. doi.org. https://doi.org/10.4324/9781315789354

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More for · 3
2020
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Hoffmann, T. (2020). Construction grammar and creativity: Evolution, psychology, and cognitive science. doi.org. https://doi.org/10.1515/cogsem-2020-2018

2019
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Kleinman, M., Chandrasekaran, C., & Kao, J. C. (2019). Recurrent neural network models of multi-area computation underlying decision-making. doi.org. https://doi.org/10.1101/798553

2021
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Honeycutt, J. M. & Rasner, R. D. (2021). An Evolutionary Science Perspective on Intuition, Rationality, Conflict, and Moral Judgments. doi.org. https://doi.org/10.4018/978-1-7998-7439-3.ch003

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first checked04 Aug 2026
judged → SUPPORTED · 8804 Aug 2026
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