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  1. Assessing evolutionary epistemology.Michael Bradie - 1986 - Biology and Philosophy 1 (4):401-459.
    There are two interrelated but distinct programs which go by the name evolutionary epistemology. One attempts to account for the characteristics of cognitive mechanisms in animals and humans by a straightforward extension of the biological theory of evolution to those aspects or traits of animals which are the biological substrates of cognitive activity, e.g., their brains, sensory systems, motor systems, etc. (EEM program). The other program attempts to account for the evaluation of ideas, scientific theories and culture in general by (...)
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  • The Evolutionary Dimension of Scientific Progress.Alexander Yu Antonovskiy & Raisa Ed Barash - forthcoming - Social Epistemology.
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  • Where guesses come from: Evolutionary epistemology and the anomaly of guided variation.Edward Stein & Peter Lipton - 1989 - Biology and Philosophy 4 (1):33-56.
    This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics are analogous (...)
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  • Did Einstein's programme supersede lorentz's?S. J. Prokhovnik - 1974 - British Journal for the Philosophy of Science 25 (4):336-340.
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  • Can Darwinian Mechanisms Make Novel Discoveries?: Learning from discoveries made by evolving neural networks.Robert T. Pennock - 2000 - Foundations of Science 5 (2):225-238.
    Some philosophers suggest that the development of scientificknowledge is a kind of Darwinian process. The process of discovery,however, is one problematic element of this analogy. I compare HerbertSimon's attempt to simulate scientific discovery in a computer programto recent connectionist models that were not designed for that purpose,but which provide useful cases to help evaluate this aspect of theanalogy. In contrast to the classic A.I. approach Simon used, ``neuralnetworks'' contain no explicit protocols, but are generic learningsystems built on the model of (...)
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  • Evolutionary change and epistemology.Trevor Hussey - 1999 - Biology and Philosophy 14 (4):561-584.
    This paper is concerned with the debate in evolutionary epistemology about the nature of the evolutionary process at work in the development of science: whether it is Darwinian or Lamarckian. It is claimed that if we are to make progress through the many arguments that have grown up around this issue, we must return to an examination of the concepts of change and evolution, and examine the basic kinds of mechanism capable of bringing evolution about. This examination results in two (...)
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  • Are the 'members' of biological species 'similar' to each other?David L. Hull - 1974 - British Journal for the Philosophy of Science 25 (4):332-334.
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  • Reviews. [REVIEW]Jerzy Giedymin - 1973 - British Journal for the Philosophy of Science 24 (3):307-313.
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  • Frameworks, models, and case studies: a new methodology for studying conceptual change in science and philosophy.Matteo De Benedetto - 2022 - Dissertation, Ludwig Maximilians Universität, München
    This thesis focuses on models of conceptual change in science and philosophy. In particular, I developed a new bootstrapping methodology for studying conceptual change, centered around the formalization of several popular models of conceptual change and the collective assessment of their improved formal versions via nine evaluative dimensions. Among the models of conceptual change treated in the thesis are Carnap’s explication, Lakatos’ concept-stretching, Toulmin’s conceptual populations, Waismann’s open texture, Mark Wilson’s patches and facades, Sneed’s structuralism, and Paul Thagard’s conceptual revolutions. (...)
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