Proceedings of the 2006 Biennial Meeting of the Philosophy of Science Association
Author : Philosophy of Science Association
Publisher :
Page : pages
File Size : 28,5 MB
Release : 2008
Category :
ISBN :
Author : Philosophy of Science Association
Publisher :
Page : pages
File Size : 28,5 MB
Release : 2008
Category :
ISBN :
Author : Philosophy of Science Association
Publisher :
Page : pages
File Size : 35,93 MB
Release : 1985-09
Category :
ISBN : 9780917586248
Author : Philosophy of Science Association
Publisher :
Page : 223 pages
File Size : 11,28 MB
Release : 1984
Category :
ISBN :
Author : Philosophy of Science Association. Biennial meeting (
Publisher : Philosophy of Science Assn
Page : 902 pages
File Size : 18,11 MB
Release : 1985
Category : Science
ISBN : 9780917586248
Author : Z W Wolkowski
Publisher : World Scientific
Page : 248 pages
File Size : 38,38 MB
Release : 1993-02-04
Category :
ISBN : 9814553360
The proceedings publishes research results on the following disciplines: philosophy and epistemology, history and philosophy of science, mathematics, logic and computer science, social sciences, linguistics, cognitive sciences, artificial intelligence, general systems and operational research.
Author : Paul Hoyningen-Huene
Publisher : University of Chicago Press
Page : 330 pages
File Size : 25,11 MB
Release : 1993-05-15
Category : Science
ISBN : 0226355519
Scholars from disciplines as diverse as political science and art history have offered widely differing interpretations of Kuhn's ideas, appropriating his notions of paradigm shifts and revolutions to fit their own theories, however imperfectly. Destined to become the authoritative philosophical study of Kuhn's work. Bibliography.
Author : Alexander Bird
Publisher : Routledge
Page : 321 pages
File Size : 41,81 MB
Release : 2014-12-18
Category : Philosophy
ISBN : 1317490134
Thomas Kuhn (1922-96) transformed the philosophy of science. His seminal 1962 work "The Structure of Scientific Revolutions" introduced the term 'paradigm shift' into the vernacular and remains a fundamental text in the study of the history and philosophy of science. This introduction to Kuhn's ideas covers the breadth of his philosophical work, situating "The Structure of Scientific Revolutions" within Kuhn's wider thought and drawing attention to the development of his ideas over time. Kuhn's work is assessed within the context of other philosophies of science notably logical empiricism and recent developments in naturalized epistemology. The author argues that Kuhn's thinking betrays a residual commitment to many theses characteristic of the empiricists he set out to challenge. Kuhn's influence on the history and philosophy of science is assessed and where the field may be heading in the wake of Kuhn's ideas is explored.
Author : Theodore Arabatzis
Publisher : University of Chicago Press
Page : 320 pages
File Size : 18,71 MB
Release : 2006
Category : History
ISBN : 9780226024202
Both a history and a metahistory, Representing Electrons focuses on the development of various theoretical representations of electrons from the late 1890s to 1925 and the methodological problems associated with writing about unobservable scientific entities. Using the electron—or rather its representation—as a historical actor, Theodore Arabatzis illustrates the emergence and gradual consolidation of its representation in physics, its career throughout old quantum theory, and its appropriation and reinterpretation by chemists. As Arabatzis develops this novel biographical approach, he portrays scientific representations as partly autonomous agents with lives of their own. Furthermore, he argues that the considerable variance in the representation of the electron does not undermine its stable identity or existence. Raising philosophical issues of contentious debate in the history and philosophy of science—namely, scientific realism and meaning change—Arabatzis addresses the history of the electron across disciplines, integrating historical narrative with philosophical analysis in a book that will be a touchstone for historians and philosophers of science and scientists alike.
Author : Lynn Hankinson Nelson
Publisher : Cambridge University Press
Page : 280 pages
File Size : 28,16 MB
Release : 2017-09-07
Category : Science
ISBN : 1108364071
This book provides a unique introduction to the study of relationships between gender and biology, a core part of the feminist science research tradition which emerged nearly half a century ago. Lynn Hankinson Nelson presents an accessible and balanced discussion of research questions, background assumptions, methods, and hypotheses about biology and gender with which feminist scientists and science scholars critically and constructively engage. Writing from the perspective of contemporary philosophy of science, she examines the evidence for and ethical implications of biological hypotheses about gender, and discusses relevant philosophical issues including understandings of scientific objectivity, the nature of scientific reasoning, and relationships between biological research and the scientific and social contexts in which it is pursued. Clear and comprehensive, this volume addresses the engagements of feminist scientists and science scholars with a range of disciplines, including developmental and evolutionary biology, medicine, neurobiology, and primatology.
Author : James M. McCracken
Publisher : Morgan & Claypool Publishers
Page : 149 pages
File Size : 41,34 MB
Release : 2016-03-31
Category : Computers
ISBN : 1627059342
Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal structures in time series data sets and is characterized by a myopic goal to determine which data series from a given set of series might be seen as the primary driver. In this work, ECA is used on several synthetic and empirical data sets, and it is found that all of the tested time series causality tools agree with each other (and intuitive notions of causality) for many simple systems but can provide conflicting causal inferences for more complicated systems. It is proposed that such disagreements between different time series causality tools during ECA might provide deeper insight into the data than could be found otherwise.