Elay Shech – författare

This Element offers an opinionated and selective introduction to philosophical issues concerning the metaphysics of color. The opinion defended is that colors are objective features of our world; objects are colored, and they have those colors independent of how they are experienced. It is a minority opinion. Many philosophers thinking about color experience argue that perceptual variation, the fact that color experiences vary from observer to observer and from viewing condition to viewing condition, makes objectivism untenable. Many philosophers thinking about colors and science argue that colors are ontologically unnecessary; nothing to be explained requires an appeal to colors. A careful look at arguments from perceptual variation shows that those arguments are not compelling, and especially once it is clear how to individuate colors. Moreover, a careful look at scientific explanations shows that colors are explanatorily essential. This title is also available as Open Access on Cambridge Core.

This Element offers an opinionated and selective introduction to philosophical issues concerning the metaphysics of color. The opinion defended is that colors are objective features of our world; objects are colored, and they have those colors independent of how they are experienced. It is a minority opinion. Many philosophers thinking about color experience argue that perceptual variation, the fact that color experiences vary from observer to observer and from viewing condition to viewing condition, makes objectivism untenable. Many philosophers thinking about colors and science argue that colors are ontologically unnecessary; nothing to be explained requires an appeal to colors. A careful look at arguments from perceptual variation shows that those arguments are not compelling, and especially once it is clear how to individuate colors. Moreover, a careful look at scientific explanations shows that colors are explanatorily essential. This title is also available as Open Access on Cambridge Core.

This volume assembles cutting-edge scholarship on scientific understanding, scientific representation, and their delicate interplay. Featuring several articles in an engaging ‘critical conversation’ format, the volume integrates discussions about understanding and representation with perennial issues in the philosophy of science, including the nature of scientific knowledge, idealizations, scientific realism, scientific inference, and scientific progress.In the philosophy of science, questions of scientific understanding and scientific representation have only recently been put in dialogue with each other. The chapters advance these discussions from a variety of fresh perspectives. They range from case studies in physics, chemistry, and neuroscience to the representational challenges of machine learning models; from special forms of representation such as maps and topological models to the relation between understanding and explanation; and from the role of idealized representations to the role of representation and understanding in scientific progress.Scientific Understanding and Representation will appeal to scholars and advanced students working in philosophy of science, philosophy of physics, philosophy of mathematics, and epistemology.

This volume assembles cutting-edge scholarship on scientific understanding, scientific representation, and their delicate interplay. Featuring several articles in an engaging ‘critical conversation’ format, the volume integrates discussions about understanding and representation with perennial issues in the philosophy of science, including the nature of scientific knowledge, idealizations, scientific realism, scientific inference, and scientific progress.In the philosophy of science, questions of scientific understanding and scientific representation have only recently been put in dialogue with each other. The chapters advance these discussions from a variety of fresh perspectives. They range from case studies in physics, chemistry, and neuroscience to the representational challenges of machine learning models; from special forms of representation such as maps and topological models to the relation between understanding and explanation; and from the role of idealized representations to the role of representation and understanding in scientific progress.Scientific Understanding and Representation will appeal to scholars and advanced students working in philosophy of science, philosophy of physics, philosophy of mathematics, and epistemology.