The role of mathematics in evolutionary theory
Jun Otsuka.
Bok Engelsk 2019 · Electronic books.
| Utgitt | Cambridge University Press
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| Omfang | 1 online resource (64 pages) : : digital, PDF file(s).
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| Opplysninger | Title from publisher's bibliographic system (viewed on 27 Jan 2020).. - Cover -- Title page -- Copyright page -- The Role of Mathematics in Evolutionary Theory -- Contents -- 1 Math for Evolution: Holy Grail or Poisoned Chalice? -- 2 The Received View -- 2.1 The Propensity Interpretation -- 2.2 Supervenience Thesis -- 3 The Statisticalist Controversy -- 3.1 The Statisticalist Criticism -- 3.2 Statisticalist Interpretation of Evolutionary Theory -- 3.3 Does Statisticalism Solve the Problem of Induction? -- 4 Beyond Dualism -- 5 Causal Foundations of Evolutionary Theory -- 5.1 Causal Foundations of Evolutionary Theory -- 5.2 The Empirical Nature of Evolutionary Theory -- 5.3 The Generalizability of Evolutionary Explanations -- 6 Conclusion -- References -- Acknowledgments.. - The central role of mathematical modeling in modern evolutionary theory has raised a concern as to why and how abstract formulae can say anything about empirical phenomena of evolution. This Element introduces existing philosophical approaches to this problem and proposes a new account according to which evolutionary models are based on causal, and not just mathematical, assumptions. The novel account features causal models both as the Humean 'uniform nature' underlying evolutionary induction and as the organizing framework that integrates mathematical and empirical assumptions into a cohesive network of beliefs that functions together to achieve epistemic goals of evolutionary biology.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 1-108-67211-6
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