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Titlebook: Epistemology of the Human Sciences; Restoring an Evoluti Walter B. Weimer Book 2023 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 18:32:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Epistemology of the Human Sciences
副標(biāo)題Restoring an Evoluti
編輯Walter B. Weimer
視頻videohttp://file.papertrans.cn/314/313348/313348.mp4
概述Discusses topics in biology, economics, psychology, political science and nonjustificational philosophy.Contrasts evolutionary epistemology in human and life sciences to the physical sciences.Replaces
叢書(shū)名稱(chēng)Palgrave Studies in Classical Liberalism
圖書(shū)封面Titlebook: Epistemology of the Human Sciences; Restoring an Evoluti Walter B. Weimer Book 2023 The Editor(s) (if applicable) and The Author(s), under
描述This book argues for evolutionary epistemology and distinguishing functionality from physicality in the social sciences. It explores the implications for this approach to understanding in biology, economics, psychology and political science. Presenting a comprehensive overview of philosophical topics in the social sciences, the book emphasizes how all human cognition and behavior is characterized by functionality and complexity, and thus cannot be explained by the point predictions and exact laws found in the physical sciences. Realms of functional complexity – such as the market order in economics, the social rules of conduct, and the human CNS – require a focus on explanations of the principles involved rather than predicting exact outcomes. This requires study of the historical context to understand behavior and cognition. This approach notes that functional complexity is central to classical liberal ideas such as division of labour and knowledge, and how this is a far more powerfuland adequate account of social organization than central planning. Through comparison of these approaches, as well as its interdisciplinary scope, this book will interest both academics and students i
出版日期Book 2023
關(guān)鍵詞evolutionary epistemology; complexity theory; behaviorism; Austrian subjectivism; rationalist constructi
版次1
doihttps://doi.org/10.1007/978-3-031-17173-4
isbn_softcover978-3-031-17175-8
isbn_ebook978-3-031-17173-4Series ISSN 2662-6470 Series E-ISSN 2662-6489
issn_series 2662-6470
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:26:06 | 只看該作者
Problems of Mensuration and Experimentation result. Experimentation is classical (not quantal), and involves replicable control. Experimentation requires separation of events into objects of study and the (rest of the) world. Epistemically, this separation is between the knower (the experimenter) and the known. Knowledge must stand apart from (be about) its objects.
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Antibiotic-Induced Anaphylaxis,annot be measured except with less powerful scale techniques and can never be “controlled” to yield physics-like laws. Life arose without lawful (inexorable) determination, by enabling circumstances subject to rules but not physical determinism. Biology requires functional (higher order) explanatory
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Konstantina Drakopoulou,Lukas Fuchsgruberithout influencing behavior guarantees the impossibility of experimentation or the discovery of inexorable laws. Psychology is restricted to demonstration studies: empirical but not experimental. Behaviorism is the application of phenomenalism (presentationalizm): all that exists for science is over
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Anarchism in Print: Yesterday and Today,nferential. Studying only correlations abandons causality, at the price of never being explanatory—only descriptive. There can never be algorithms of either inference or assessment. One must have a theory to explain in either the physical or the functional domains. Only theories explain, and theory
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發(fā)表于 2025-3-23 06:23:33 | 只看該作者
https://doi.org/10.1057/9780230289680loy nominal, ordinal, and (some) interval scaling procedures to provide actual meaningful information in the human sciences, whereas using parametric procedures based upon ratio scaling provides misleading results because such procedures add in much information that cannot actually be supported by t
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