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Kant on Causality, Freedom, and Objectivity
Kant on Causality, Freedom, and Objectivity was first published in 1984. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. Kant's account of causation is central to his views on objective truth and freedom. The Second Analogy of Experience, in the Critique of Pure Reason,where he provides his defense of the causal principle, has long been the focus of intense philosophical research. In the past twenty years, there have been two major periods of interest in Kantian themes, The first coincided with a general turn away from positivism by analytic philosoph...
The Position of Peggy Harper
Set in British theater-land in the very early 20th century, a tale of one man's quest as an actor for a secure wage and fame Christopher Tatham lurches from bit part to bit part, always hoping for the longed-for leading-man role, relying on the kindness of relations to keep him housed and clothed. A chance encounter with the enchanting Peggy Harper seems to preempt a change of fortune. Will they both attain the success they crave? Toasting engagements without ginger-beer, living hand-to-mouth, Merrick's seedy world makes for grim reading and when Peggy turns out to be as fame-hungry, vain, and vacant as she first appears, Christopher's lot looks unlikely to improve. In an age in which fame and celebrity are widely courted and craved, this book still makes for an intriguing and, potentially, cautionary tale.
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory a...
Fall River Directory
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Causation in Decision, Belief Change, and Statistics
The papers collected here are, with three exceptions, those presented at a conference on probability and causation held at the University of California at Irvine on July 15-19, 1985. The exceptions are that David Freedman and Abner Shimony were not able to contribute the papers that they presented to this volume, and that Clark Glymour who was not able to attend the conference did contribute a paper. We would like to thank the National Science Foundation and the School of Humanities of the University of California at Irvine for generous support. WILLIAM HARPER University of Western Ontario BRIAN SKYRMS University of California at Irvine Vll INTRODUCTION PART I: DECISIONS AND GAMES Causal not...
Probability and Inference
Recent advances in philosophy, artificial intelligence, mathematical psychology, and the decision sciences have brought a renewed focus to the role and interpretation of probability in theories of uncertain reasoning. Henry E. Kyburg, Jr. has long resisted the now dominate Bayesian approach to the role of probability in scientific inference and practical decision. The sharp contrasts between the Bayesian approach and Kyburg's program offer a uniquely powerful framework within which to study several issues at the heart of scientific inference, decision, and reasoning under uncertainty. The commissioned essays for this volume take measure of the scope and impact of Kyburg's views on probability and scientific inference, and include several new and important contributions to the field. Contributors: Gert de Cooman, Clark Glymour, William Harper, Isaac Levi, Ron Loui, Enrique Miranda, John Pollock, Teddy Seidenfeld, Choh Man Teng, Mariam Thalos, Gregory Wheeler, Jon Williamson, and Henry E. Kyburg, Jr.
