Early Debates On Instrumentalism

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This four-volume set focuses on the cornerstones of the thought grounding the Chicago school of pragmatism - their philosophies of human nature, intelligence, values and social purpose.

Thomas Kuhn's The Structure of Scientific Revolutions offers an insightful and engaging theory of science that speaks to scholars across many disciplines. Though initially widely misunderstood, it had a profound impact on the way intellectuals and educated laypeople thought about science. K. Brad Wray traces the influences on Kuhn as he wrote Structure, including his 'Aristotle epiphany', his interactions, and his studies of the history of chemistry. Wray then considers the impact of Structure on the social sciences, on the history of science, and on the philosophy of science, where the problem of theory change has set the terms of contemporary realism/anti-realism debates. He examines Kuhn's frustrations with the Strong Programme sociologists' appropriations of his views, and debunks several popular claims about what influenced Kuhn as he wrote Structure. His book is a rich and comprehensive assessment of one of the most influential works in the modern sciences.

Works of John Dewey, 1886–2012 is an invaluable and meticulously compiled resource for the growing number of scholars and researchers seeking a deeper understanding of the work of the prominent American philosopher, psychologist, and educational reformer. Dewey (1859–1952), an influential philosopher credited with the founding of pragmatism and also recognized as a pioneer in functional psychology and the progressive moment in education, was hailed by Life magazine in 1990 as one of the one hundred most important Americans of the twentieth century. This rich and continually expanding compendium of historical and more recent essays, research, and references is a testament to the growing interest in Dewey’s intellectual work and his measurable impact in the United States and throughout the world. In Works of John Dewey, 1886–2012, some four thousand new entries are presented in ebook format, in addition to those from earlier print and electronic editions dating back to 1995. Copies of most of the works have been obtained and are stored at the Center for Dewey Studies. For the first time, users can access all items from all editions in one user-friendly format. Jump links to alphabetical sections facilitate movement through the vast collection of entries. Users can search by keyword and author.

The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses-giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. Poirier's text provides a thoroughly modern, self-contained, comprehensive, and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model. Written primarily for advanced undergraduate and graduate students who are pursuing research careers in economics, Intermediate Statistics and Econometrics offers a broad perspective, bringing together a great deal of diverse material. Its comparative approach, emphasis on regression and prediction, and numerous exercises and references provide a solid foundation for subsequent courses in econometrics and will prove a valuable resource to many nonspecialists who want to update their quantitative skills. The introduction closes with an example of a real-world data set-the Challengerspace shuttle disaster-that motivates much of the text's theoretical discussion. The ten chapters that follow cover basic concepts, special distributions, distributions of functions of random variables, sampling theory, estimation, hypothesis testing, prediction, and the linear regression model. Appendixes contain a review of matrix algebra, computation, and statistical tables.

Roughly, instrumentalism is the view that science is primarily, and should primarily be, an instrument for furthering our practical ends. It has fallen out of favour because historically influential variants of the view, such as logical positivism, suffered from serious defects. In this book, however, Darrell P. Rowbottom develops a new form of instrumentalism, which is more sophisticated and resilient than its predecessors. This position—‘cognitive instrumentalism’—involves three core theses. First, science makes theoretical progress primarily when it furnishes us with more predictive power or understanding concerning observable things. Second, scientific discourse concerning unobservable things should only be taken literally in so far as it involves observable properties or analogies with observable things. Third, scientific claims about unobservable things are probably neither approximately true nor liable to change in such a way as to increase in truthlikeness. There are examples from science throughout the book, and Rowbottom demonstrates at length how cognitive instrumentalism fits with the development of late nineteenth- and early twentieth-century chemistry and physics, and especially atomic theory. Drawing upon this history, Rowbottom also argues that there is a kind of understanding, empirical understanding, which we can achieve without having true, or even approximately true, representations of unobservable things. In closing the book, he sets forth his view on how the distinction between the observable and unobservable may be drawn, and compares cognitive instrumentalism with key contemporary alternatives such as structural realism, constructive empiricism, and semirealism. Overall, this book offers a strong defence of instrumentalism that will be of interest to scholars and students working on the debate about realism in philosophy of science.