Scientific Method, Misc

The focus of this paper is to examine the problem of induction as a methodology for science. It also evaluates Karl Popper’s deductive approach as the suitable methodology for scientific research. Popper calls his theory ‘hypothetico-deductive methodology’. However, this paper argues the thesis that Popper’s theory of hypothetico-deductive methodology, which he claims is the only appropriate methodology of science is fraught with some theoretical difficulties, which makes it unacceptable. Popper’s logical asymmetry between verification and falsification, we argue, is philosophically untenable. (...) We argue the thesis for the complementarity of both inductive and deductive methodology in scientific investigation. This study seeks to establish the resonance of accepting both deductive and inductive reasoning as the basic methodologies upon which scientific research and discoveries proceed. (shrink)

A new approach to analyze scientific methods as patternsof state transitions is proposed and exemplified by the two mostimportant, general methods: induction and deduction. Though only`local' states of science are considered in this paper, includinghypotheses, data, approximation and degree of fit, the approach caneasily be extended to more comprehensive kinds of states. Two `pure'forms of induction are distinguished, enumerative and hypothesisconstruction induction. A combination of these two forms is proposedto yield a more adequate picture of induction. While the pure forms (...) ofinduction are clearly distinct from the deductive pattern, the patternof the combined form of induction is very similar to the latter. Thepresent account of scientific methods not only points out thedifferences between different methods but – in contrast to usualdiscussions of methodology – also clarifies what they have in common. (shrink)

Chaos-related obstructions to predictability have been used to challenge accounts of theory validation based on the agreement between theoretical predictions and experimental data. These challenges are incomplete in two respects: they do not show that chaotic regimes are unpredictable in principle and, as a result, that there is something conceptually wrong with idealized expectations of correct predictions from acceptable theories, and they do not explore whether chaos-induced predictive failures of deterministic models can be remedied by stochastic modeling. In this paper (...) we appeal to an asymptotic analysis of state space trajectories and their numerical approximations to show that chaotic regimes are deterministically unpredictable even with unbounded resources. Additionally, we explain why stochastic models of chaotic systems, while predictively successful in some cases, are in general predictively as limited as deterministic ones. We conclude by suggesting that the way in which scientists deal with such principled obstructions to predictability calls for a more comprehensive approach to theory validation, on which experimental testing is augmented by a multifaceted mathematical analysis of theoretical models, capable of identifying chaos-related predictive failures as due to principled limitations which the world itself imposes on any less-than-omniscient epistemic access to some natural systems. (shrink)

Originally published in 1961 by Columbia University Press.

Many scientists believe that there is a uniform, interdisciplinary method for the prac- tice of good science. The paradigmatic examples, however, are drawn from classical ex- perimental science. Insofar as historical hypotheses cannot be tested in controlled labo- ratory settings, historical research is sometimes said to be inferior to experimental research. Using examples from diverse historical disciplines, this paper demonstrates that such claims are misguided. First, the reputed superiority of experimental research is based upon accounts of scientific methodology (Baconian inductivism (...) or falsificationism) that are deeply flawed, both logically and as accounts of the actual practices of scientists. Second, although there are fundamental differences in methodology between experimental scien- tists and historical scientists, they are keyed to a pervasive feature of nature, a time asymmetry of causation. As a consequence, the claim that historical science is methodo- logically inferior to experimental science cannot be sustained. (shrink)

This classic work in the philosophy of physical science is an incisive and readable account of the scientific method. Pierre Duhem was one of the great figures in French science, a devoted teacher, and a distinguished scholar of the history and philosophy of science. This book represents his most mature thought on a wide range of topics.

There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. (...) In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh. (shrink)

Conflict and harmony -- The disunity of science -- The abundance of nature -- Dehumanizing humans.

Professor Schurz has written a book that is ambitious in both scope and aims. It begins with an introductory chapter on the historical development and general aims of the philosophy of science itself, moves on to issues associated with establishing a basis for a unified approach to science, with extensive consideration of the conceptual toolkit required, then takes us through chapters on laws and empirical testing, the empirical evaluation of theories more generally, including issues of realism and empiricism, before concluding (...) with an extensive and technically detailed account of causation and explanation. Chapters are divided into core and ‘complementary and advanced’ topics—so, ‘Methodological Features of Scientific Theories’ is included under the former, whereas ‘Instrumentalism and Realism—The Ontology of Scientific Theories’ is placed in the latter—and relevant case studies go beyond the usual run of examples from physics to include Piaget’s Theory of Cognitive Development .. (shrink)

The distinction between sociology of science on the one hand and methodology and systematics on the other, is an established historical fact. Thus, even in modern methodologically orientated philosophy, epistemological analyses still tend to disregard the pragmatic contexts within which scientific knowledge is produced, processed and applied. This situation also reflects the well-known fact that philosophy of science has largely ignored the conceptual and methodological foundations of technology, that is, those disciplines directly and explicitly linked to the practical implications and (...) intended applications of scientific research. The following considerations suggest that the methodology of technology provides useful and generally applicable criteria of the evaluation and acceptance of the hypotheses and theories of empirical science. (shrink)

This is not how science works. But science does work, and here award-winning teacher and scholar Steven Gimbel provides students the tools to answer for themselves this question: What actually is the scientific method?

The central theme running throughout this outstanding new survey is the nature of the philosophical debate created by modern science's foundation in experimental and mathematical method. More recently, recognition that reasoning in science is probabilistic generated intense debate about whether and how it should be constrained so as to ensure the practical certainty of the conclusions drawn. These debates brought to light issues of a philosophical nature which form the core of many scientific controversies today. _Scientific Method: A Historical and (...) Philosophical Introduction_ presents these debates through clear and comparative discussion of key figures in the history of science. Key chapters critically discuss * Galileo's demonstrative method, Bacon's inductive method, and Newton's rules of reasoning * the rise of probabilistic `Bayesian' methods in the eighteenth century * the method of hypotheses through the work of Herschel, Mill and Whewell * the conventionalist views of Poincaré and Duhem * the inductivism of Peirce, Russell and Keynes * Popper's falsification compared with Reichenbach's enumerative induction * Carnap's scientific method as Bayesian reasoning The debates are brought up to date in the final chapters by considering the ways in which ideas about method in the physical and biological sciences have affected thinking about method in the social sciences. This debate is analyzed through the ideas of key theorists such as Kuhn, Lakatos, and Feyerabend. (shrink)

Bohr’s atomic model is one of the better known examples of empirically successful, albeit inconsistent, theoretical schemes in the history of physics. For this reason, many philosophers use this model to illustrate their position for the occurrence and the function of inconsistency in science. In this paper, I proceed to a critical comparison of the structure and the aims of Bohr’s research program – the starting point of which was the formulation of his model – with some of its contemporary (...) philosophical readings. My study comes to conclude that the attempt of certain philosophers to accommodate Bohr’s model to a form of paraconsistent logic obliterates essential aspects of scientists' actual practice and reasoning. (shrink)

Reissue from the classic Muirhead Library of Philosophy series (originally published between 1890s - 1970s).

Over the last four decades arguments for and against the claim that creative hypothesis formation is based on Darwinian ‘blind’ variation have been put forward. This paper offers a new and systematic route through this long-lasting debate. It distinguishes between undirected, random, and unjustified variation, to prevent widespread confusions regarding the meaning of undirected variation. These misunderstandings concern Lamarckism, equiprobability, developmental constraints, and creative hypothesis formation. The paper then introduces and develops the standard critique that creative hypothesis formation is guided (...) rather than blind, integrating developments from contemporary research on creativity. On that basis, I discuss three compatibility arguments that have been used to answer the critique. These arguments do not deny guided variation but insist that an important analogy exists nonetheless. These compatibility arguments all fail, even though they do so for different reasons: trivialisation, conceptual confusion, and lack of evidence respectively. Revisiting the debate in this manner not only allows us to see where exactly a ‘Darwinian’ account of creative hypothesis formation goes wrong, but also to see that the debate is not about factual issues, but about the interpretation of these factual issues in Darwinian terms. (shrink)

INTRODUCTION Philosophy of science is a study of the general nature of scientific practice, explanations, theories, and the relation of scientific knowledge ...

Contestant l’opinion commune selon laquelle le problème de la démarcation, contrairement au problème de l’induction, est relativement anecdotique, l’article soutient que le critère poppérien de falsifiabilité donne une réponse irrésistible à la question de savoir ce qui peut être appris d’une investigation empirique. Tout découle du rejet de la logique inductive, joint à la reconnaissance du fait que, avant d’être investiguée, une hypothèse doit être formulée et acceptée. Les hypothèses scientifiques n’émergent ni a posteriori comme les inductivistes le soutiennent, ni (...) de quelque immaculée source a priori : elles sont des conjectures pures et simples. Les empiristes qui rejettent l’apriorisme ont donc rejoint trop rapidement les rangs non philosophiques du naturalisme épistémologique. L’article conclut par un résumé de l’objectivisme popperien et par de brèves réponses à certains arguments à la mode selon lesquels la vérité objective n’est pas un objectif atteignable. (shrink)

What is it to be scientific? Is there such a thing as scientific method? And if so, how might such methods be justified? Robert Nola and Howard Sankey seek to provide answers to these fundamental questions in their exploration of the major recent theories of scientific method. Although for many scientists their understanding of method is something they just pick up in the course of being trained, Nola and Sankey argue that it is possible to be explicit about what this (...) tacit understanding of method is, rather than leave it as some unfathomable mystery. They robustly defend the idea that there is such a thing as scientific method and show how this might be legitimated. This book begins with the question of what methodology might mean and explores the notions of values, rules and principles, before investigating how methodologists have sought to show that our scientific methods are rational. Part 2 of this book sets out some principles of inductive method and examines its alternatives including abduction, IBE, and hypothetico-deductivism. Part 3 introduces probabilistic modes of reasoning, particularly Bayesianism in its various guises, and shows how it is able to give an account of many of the values and rules of method. Part 4 considers the ideas of philosophers who have proposed distinctive theories of method such as Popper, Lakatos, Kuhn and Feyerabend and Part 5 continues this theme by considering philosophers who have proposed naturalised theories of method such as Quine, Laudan and Rescher. This book offers readers a comprehensive introduction to the idea of scientific method and a wide-ranging discussion of how historians of science, philosophers of science and scientists have grappled with the question over the last fifty years. (shrink)

Some think that issues to do with scientific method are last century's stale debate; Popper was an advocate of methodology, but Kuhn, Feyerabend, and others are alleged to have brought the debate about its status to an end. The papers in this volume show that issues in methodology are still very much alive. Some of the papers reinvestigate issues in the debate over methodology, while others set out new ways in which the debate has developed in the last decade. The (...) book will be of interest to philosophers and scientists alike in the reassessment it provides of earlier debates about method and current directions of research. (shrink)

Book review of Laats and Siegel (2016) *Teaching Evolution in a Creation Nation* (University of Chicago Press).

" Vivid . . . immense clarity . . . the product of a brilliant and extremely forceful intellect." — Journal of the Royal Naval Scientific Service "Still a sheer joy to read." — Mathematical Gazette "Should be read by any student, teacher or researcher in mathematics." — Mathematics Teacher The originator of algebraic topology and of the theory of analytic functions of several complex variables, Henri Poincare (1854–1912) excelled at explaining the complexities of scientific and mathematical ideas to lay (...) readers. Science and Method, written in 1908, has been appreciated by a wide audience of nonprofessionals and translated into many languages. It defines the basic methodology and psychology of scientific discovery, particularly in regard to mathematics and mathematical physics. Drawing on examples from many fields, it explains how scientists analyze and choose their working facts, and it explores the nature of experimentation, theory, and the mind. 1914 edition. Translated by Francis Maitland. (shrink)

In a career spanning sixty years, Sir Karl Popper has made some of the most important contributions to the twentieth century discussion of science and rationality. The Myth of the Framework is a new collection of some of Popper's most important material on this subject. Sir Karl discusses such issues as the aims of science, the role that it plays in our civilization, the moral responsibility of the scientist, the structure of history, and the perennial choice between reason and revolution. (...) In doing so, he attacks intellectual fashions (like positivism) that exagerrate what science and rationality have done, as well as intellectual fashions (like relativism) that denigrate what science and rationality can do. Scientific knowledge, according to Popper, is one of the most rational and creative of human achievements, but it is also inherently fallible and subject to revision. In place of intellectual fashions, Popper offers his own critical rationalism - a view that he regards both as a theory of knowlege and as an attitude towards human life, human morals and democracy. Published in cooperation with the Central European University. (shrink)