Epistemology & Methodology III: Philosophy of Science and Technology Part I: Formal and Physical Sciences
Epistemology & Methodology III: Philosophy of Science and Technology Part I: Formal and Physical Sciences

Author: M. Bunge

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 275

ISBN-13: 9400952813

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The aims of this Introduction are to characterize the philosophy of science and technology, henceforth PS & T, to locate it on the map ofiearning, and to propose criteria for evaluating work in this field. 1. THE CHASM BETWEEN S & T AND THE HUMANITIES It has become commonplace to note that contemporary culture is split into two unrelated fields: science and the rest, to deplore this split - and to do is some truth in the two cultures thesis, and even nothing about it. There greater truth in the statement that there are literally thousands of fields of knowledge, each of them cultivated by specialists who are in most cases indifferent to what happens in the other fields. But it is equally true that all fields of knowledge are united, though in some cases by weak links, forming the system of human knowledge. Because of these links, what advances, remains stagnant, or declines, is the entire system of S & T. Throughout this book we shall distinguish the main fields of scientific and technological knowledge while at the same time noting the links that unite them.

Epistemology & Methodology I:
Epistemology & Methodology I:

Author: M. Bunge

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 414

ISBN-13: 9400970277

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In this Introduction we shall state the business of both descriptive and normative epistemology, and shall locate them in the map oflearning. This must be done because epistemology has been pronounced dead, and methodology nonexisting; and because, when acknowledged at all, they are often misplaced. 1. DESCRIPTIVE EPISTEMOLOGY The following problems are typical of classical epistemology: (i) What can we know? (ii) How do we know? (iii) What, if anything, does the subject contribute to his knowledge? (iv) What is truth? (v) How can we recognize truth? (vi) What is probable knowledge as opposed to certain knowledge? (vii) Is there a priori knowledge, and if so of what? (viii) How are knowledge and action related? (ix) How are knowledge and language related? (x) What is the status of concepts and propositions? In some guise or other all of these problems are still with us. To be sure, if construed as a demand for an inventory of knowledge the first problem is not a philosophical one any more than the question 'What is there?'. But it is a genuine philosophical problem if construed thus: 'What kinds of object are knowable-and which ones are not?' However, it is doubtful that philosophy can offer a correct answer to this problem without the help of science and technology. For example, only these disciplines can tell us whether man can know not only phenomena (appearances) but also noumena (things in themselves or self-existing objects).

Epistemology, Methodology, and the Social Sciences
Epistemology, Methodology, and the Social Sciences

Author: Robert S. Cohen

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 272

ISBN-13: 9401714584

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The last decades have seen major reformations in the philosophy and history of science. What has been called 'post-positivist' philosophy of science has introduced radically new concerns with historical, social, and valuative components of scientific thought in the natural sciences, and has raised up the demons of relativism, subjectivism and sociologism to haunt the once calm precincts of objectivity and realism. Though these disturbances intruded upon what had seemed to be the logically well-ordered domain of the philoso phy of the natural sciences, they were no news to the social sciences. There, the messy business of human action, volition, decision, the considerations of practical purposes and social values, the role of ideology and the problem of rationality, had long conspired to defeat logical-reconstructionist programs. The attempt to tarne the social sciences to the harness of a strict hypothetico deductive model of explanation failed. Within the social sciences, phenome nological, Marxist, hermeneuticist, action-theoretical approaches vied in attempting to capture the distinctiveness of human phenomena. In fact, the philosophy of the natural sciences, even in its 'hard' forms, has itself become infected with the increasing reflection upon the role of such social-scientific categories, in the attempt to understand the nature of the scientific enterprise.

On the Epistemology of Data Science
On the Epistemology of Data Science

Author: Wolfgang Pietsch

Publisher: Springer Nature

Published: 2021-12-10

Total Pages: 308

ISBN-13: 3030864421

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This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science.

Methodology and Epistemology for Social Sciences
Methodology and Epistemology for Social Sciences

Author: Donald T. Campbell

Publisher: University of Chicago Press

Published: 1988-10-27

Total Pages: 644

ISBN-13: 9780226092485

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Selections from the work of an influential contributor to the methodology of the social sciences. He treats: measurement, experimental design, epistemology, and sociology of science each section introduced by the editor, Samuel Overman. Annotation copyright Book News, Inc. Portland, Or.

Methodological Variance
Methodological Variance

Author: G.L. Pandit

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 451

ISBN-13: 9401131740

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For a philosopher with an abiding interest in the nature of objective knowledge systems in science, what could be more important than trying to think in terms of those very subjects of such knowledge to which men like Galileo, Newton, Max Planck, Einstein and others devoted their entire lifetimes? In certain respects, these systems and their structures may not be beyond the grasp of a linguistic conception of science, and scientific change, which men of science and philosophy have advocated in various forms in recent times. But certainly it is wrong-headed to think that one's conception of science can be based on an identification of its theories with languages in which they may be, my own alternatively, framed. There may be more than one place in book (1983: 87) where they may seem to get confused with each other, quite against my original intentiens. The distinction between the objec tive knowledge systems in science and the dynamic frameworks of the languages of the special individual sciences, in which their growth can be embedded in significant ways, assumes here, therefore, much impor tance. It must be recognized that the problems concerning scientific change, which these systems undergo, are not just problems concerning language change.