Stephan Hartmann

Luc Bovens

Carl Hoefer

Nancy Cartwright is one of the most distinguished and influential contemporary philosophers of science. Despite the profound impact of her work, there is neither a systematic exposition of Cartwright’s philosophy of science nor a collection of articles that contains in-depth discussions of the major themes of her philosophy. This book is devoted to a critical assessment of Cartwright’s philosophy of science and contains contributions from Cartwright's champions and critics. Broken into three parts, the book begins by addressing Cartwright's views on the practice of model building in science and the question of how models represent the world before moving on to a detailed discussion of methodologically and metaphysically challenging problems. Finally, the book addresses Cartwright's original attempts to clarify profound questions concerning the metaphysics of science. With contributions from leading scholars, such as Ronald N. Giere and Paul Teller, this unique volume will be extremely useful to philosophers of science the world over.

Nancy Cartwright's Philosophy of Science

Coping is a collection of philosophical essays on how we deal with life’s challenges. We hope for better times, but what is hope, and is it a good thing to hope? How do we look back and make sense of our lives in the face of death? What is the nature of love, and how do we deal with its hardships? What makes for a genuine apology, and is there too much or too little apologizing in this world? Can we bring about changes in ourselves to adapt to our circumstances? How can we make sense of all the good advice—such as, count your blessings, don’t cry over spilled milk—that people have on offer? Coping is a perfect companion text for a moral psychology course, a resilience course, or part of an ethics course. The material is written for readers who are new to philosophy and progresses in short self-contained sections. It draws on literature, music, podcasts, and news items. Each chapter has questions for discussion or essay writing and suggestions for material to explore the topic further.

A Philosophical Guide

Coping

Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much discussed issues regarding evidence, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines.

Luc Bovens

About

Books

Join the club