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008 171003s2017 ilu fo 000 0 eng d
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020 _a9780226507194
_q((electronic)l(electronic)ctronic)
050 0 4 _aQ175
_b.I343 2017
049 _aMAIN
100 1 _aPotochnik, Angela,
_e1
245 1 0 _aIdealization and the aims of science /Angela Potochnik.
260 _aChicago :
_bUniversity of Chicago Press,
_c(c)2017.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _adata file
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504 _a2
505 0 0 _aIntroduction : doing science in a complex world. Science by humans ; Science in a complex world ; The payoff : idealizations and many aims --
_tComplex causality and simplified representation. Causal patterns in the face of complexity ; Causal patterns ; Causal complexity ; Simplification by idealization ; Reasons to idealize ; Idealizations' representational role ; Rampant and unchecked idealization --
_tThe diversity of scientific projects. Broad patterns : modeling cooperation ; A specific phenomenon : variation in human aggression ; Predictions and idealizations in the physical sciences ; Surveying the diversity --
_tScience isn't after the truth. The aims of science ; Understanding as science's epistemic aim ; Separate pursuit of science's aims ; Understanding, truth, and knowledge ; The nature of scientific understanding ; The role of truth and scientific knowledge --
_tCausal pattern explanations. Explanation, communication, and understanding ; An account of scientific explanation ; The scope of causal patterns ; The crucial role of the audience ; Adequate explanations --
_tLevels and fields of science. Levels in philosophy and science ; Going without levels ; Against hierarchy ; Prizing apart forms of stratification ; The fields of science and how they relate --
_tScientific pluralism and its limits. The entrenchment of social values ; How science doesn't inform metaphysics ; Scientific progress.
520 0 _aIdealizations are assumptions made without regard for whether they are true and often with full knowledge they are false. This book develops a strong view of idealization's centrality to science and reconsiders the aims of science in light of that centrality. The starting point is well-accepted ideas about how science is shaped by its human practitioners and by the world's complexity. Together, these ideas inspire a view of science as the search for causal patterns, a search that relies significantly on idealizations. Idealizations contribute to science in a variety of ways, including by playing a positive representational role. Case studies from across science are used to demonstrate idealizations' ubiquity in science, as well as the wide range of purposes they serve. This account of idealization has implications for central philosophical debates about the aims of science. First, it provides reason to think the epistemic aim of science is not truth but human understanding. Understanding is a cognitive achievement that, unlike truth, can be directly furthered by idealizations. This in turn motivates an account of scientific explanation that does justice to how the production of understanding depends on human cognizers, including the cognitive value of causal patterns. It also inspires a view of the relationship among scientific projects not as investigating discrete levels of organization, but as independent and partial explanations dependent on one another for epistemic support. Finally, this account of idealization expands the influence of human values on science's aims and products, while also constraining scientific and metaphysical pluralism.
530 _a2
_ub
650 0 _aScience
_xPhilosophy.
650 0 _aIdealism.
655 1 _aElectronic Books.
856 4 0 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password.
_uhttpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1595761&site=eds-live&custid=s3260518
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994 _a92
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999 _c77714
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902 _a1
_bCynthia Snell
_c1
_dCynthia Snell