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Proofs and Refutations: The Logic of Mathematical Discovery
Abstract
Proofs and Refutations is essential reading for all those interested in the methodology, the philosophy and the history of mathematics. Much of the book takes the form of a discussion between a teacher and his students. They propose various solutions to some mathematical problems and investigate the strengths and weaknesses of these solutions. Their discussion (which mirrors certain real developments in the history of mathematics) raises some philosophical problems and some problems about the nature of mathematical discovery or creativity. Imre Lakatos is concerned throughout to combat the classical picture of mathematical development as a steady accumulation of established truths. He shows that mathematics grows instead through a richer, more dramatic process of the successive improvement of creative hypotheses by attempts to 'prove' them and by criticism of these attempts: the logic of proofs and refutations.
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Cited by
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Baddeley, A. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100422 · Cited by 4,271
Why Do People Need Self-Esteem? A Theoretical and Empirical Review.
Pyszczynski, T., Greenberg, J., Solomon, S., Arndt, J., & Schimel, J. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.3.435 · Cited by 1,367
The Knowledge, Beliefs and Attitudes of the Mathematics Teacher: a model
Ernest, P. (1989) · Journal of Education for Teaching · doi:10.1080/0260747890150102 · Cited by 759
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Metadata
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1976-01-01
- OpenAlex
- W2998385477
- Cited by
- 2,343
- References
- 0
- FWCI
- 30.38
- Type
- book
- Language
- en
- Open access
- closed
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- Proofs and Refutations: The Logic of Mathematical Discovery. (1976). Cambridge University Press eBooks. https://doi.org/10.1017/cbo9781139171472
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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.