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Idealization, explanation and fiction.
~
Levy, Arnon.
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Idealization, explanation and fiction.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Idealization, explanation and fiction./
作者:
Levy, Arnon.
面頁冊數:
185 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-07, Section: A, page: 2494.
Contained By:
Dissertation Abstracts International71-07A.
標題:
Philosophy of Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3414840
ISBN:
9781124081595
Idealization, explanation and fiction.
Levy, Arnon.
Idealization, explanation and fiction.
- 185 p.
Source: Dissertation Abstracts International, Volume: 71-07, Section: A, page: 2494.
Thesis (Ph.D.)--Harvard University, 2010.
Scientific modelling often strays deliberately from the truth---appealing to such devices as idealization and metaphor. " Idealization, Explanation and Fiction" explores the scientific practice of explanation via non-veridical representation. I offer a general treatment of model-based explanation, and several case studies from biology.
ISBN: 9781124081595Subjects--Topical Terms:
894954
Philosophy of Science.
Idealization, explanation and fiction.
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Source: Dissertation Abstracts International, Volume: 71-07, Section: A, page: 2494.
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My perspective emphasizes the underlying goal of understanding. I argue for a conception of explanation on which two sorts of factors affect explanatory "goodness"---causal content and representational organization. This two-dimensional conception accounts for the function of idealization, and can be extended to metaphors.
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The concomitant exploration of case studies is geared towards showing how non-veridical representations contribute to scientific understanding, while also pointing to their potential to mislead. In putting forward the two-dimensional view I look at a model of the dynamics of HIV/AIDS. In it, a sacrifice of causal content permits the model to make important factors salient, and to unify a range of phenomena. I argue that this is a feature of idealization more generally. A second case study targets the concept of information in biology. I propose that informational notions are metaphors, albeit explanatory ones, allowing biologists to better represent mechanisms of regulation and control. Thirdly, I discuss game theoretic explanations of the evolution of morality. Here idealizing assumptions have unjustifiably dominated the development of the models. I argue that in modelling the evolution of morality conceptual progress has been confused for empirically grounded understanding.
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