Principle And Propensity
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The Routledge Companion to Philosophy of Medicine
The Routledge Companion to Philosophy of Medicine is a comprehensive guide to topics in the fields of epistemology and metaphysics of medicine. It examines traditional topics such as the concept of disease, causality in medicine, the epistemology of the randomized controlled trial, the biopsychosocial model, explanation, clinical judgment and phenomenology of medicine and emerging topics, such as philosophy of epidemiology, measuring harms, the concept of disability, nursing perspectives, race and gender, the metaphysics of Chinese medicine, and narrative medicine. Each of the 48 chapters is written especially for this volume and with a student audience in mind. For pedagogy and clarity, each chapter contains an extended example illustrating the ideas discussed. This text is intended for use as a reference for students in courses in philosophy of medicine and philosophy of science, and pairs well with The Routledge Companion to Bioethics for use in medical humanities and social science courses.
China from Empire to Nation-State
This translation of the Introduction to Wang Hui’s Rise of Modern Chinese Thought (2004) makes part of his four-volume masterwork available to English readers for the first time. A leading public intellectual in China, Wang charts the historical currents that have shaped Chinese modernity from the Song Dynasty to the present day.
The Logic of Reliable Inquiry
Author: Kevin T. Kelly
language: en
Publisher: Oxford University Press
Release Date: 1996-01-04
There are many proposed aims for scientific inquiry--to explain or predict events, to confirm or falsify hypotheses, or to find hypotheses that cohere with our other beliefs in some logical or probabilistic sense. This book is devoted to a different proposal--that the logical structure of the scientist's method should guarantee eventual arrival at the truth given the scientist's background assumptions. Interest in this methodological property, called "logical reliability," stems from formal learning theory, which draws its insights not from the theory of probability, but from the theory of computability. Kelly first offers an accessible explanation of formal learning theory, then goes on to develop and explore a systematic framework in which various standard learning theoretic results can be seen as special cases of simpler and more general considerations. This approach answers such important questions as whether there are computable methods more reliable than Bayesian updating or Popper's method of conjectures and refutations. Finally, Kelly clarifies the relationship between the resulting framework and other standard issues in the philosophy of science, such as probability, causation, and relativism. His work is a major contribution to the literature and will be essential reading for scientists, logicians, and philosophers