5 found
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William Hoppitt [3]William J. E. Hoppitt [2]
  1.  56
    Kevin N. Laland, John Odling-Smee, William Hoppitt & Tobias Uller (2013). More on How and Why: Cause and Effect in Biology Revisited. Biology and Philosophy 28 (5):719-745.
    In 1961, Ernst Mayr published a highly influential article on the nature of causation in biology, in which he distinguished between proximate and ultimate causes. Mayr argued that proximate causes (e.g. physiological factors) and ultimate causes (e.g. natural selection) addressed distinct ‘how’ and ‘why’ questions and were not competing alternatives. That distinction retains explanatory value today. However, the adoption of Mayr’s heuristic led to the widespread belief that ontogenetic processes are irrelevant to evolutionary questions, a belief that has (1) hindered (...)
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  2.  20
    Luke Rendell, Laurel Fogarty, William J. E. Hoppitt, Thomas J. H. Morgan, Mike M. Webster & Kevin N. Laland (2011). Cognitive Culture: Theoretical and Empirical Insights Into Social Learning Strategies. Trends in Cognitive Sciences 15 (2):68-76.
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  3.  21
    Kevin N. Laland, John Odling-Smee, William Hoppitt & Tobias Uller (2013). More on How and Why: A Response to Commentaries. Biology and Philosophy 28 (5):793-810.
    We are grateful to the commentators for taking the time to respond to our article. Too many interesting and important points have been raised for us to tackle them all in this response, and so in the below we have sought to draw out the major themes. These include problems with both the term ‘ultimate causation’ and the proximate-ultimate causation dichotomy more generally, clarification of the meaning of reciprocal causation, discussion of issues related to the nature of development and phenotypic (...)
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  4.  9
    Luke Rendell, William Hoppitt & Jeremy Kendal (2007). Is All Learning Innovation? Behavioral and Brain Sciences 30 (4):421-422.
    Research on animal innovation is an underdeveloped field, and for this reason we welcome the efforts Ramsey and colleagues have made to stimulate its study in wild populations. However, we feel that in attempting to find an operational definition the authors have overstretched the idea of what we should consider innovation in some areas and over-restricted it in others.
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  5. Andrew Whalen & William J. E. Hoppitt (2016). Bayesian Model Selection with Network Based Diffusion Analysis. Frontiers in Psychology 7.
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