Vipul Vivek Mallik-Das

This collection of readings shows how cognitive science can influence most of the primary branches of philosophy, as well as how philosophy critically examines the foundations of cognitive science. Its broad coverage extends beyond current texts that focus mainly on the impact of cognitive science on philosophy of mind and philosophy of psychology, to include materials that are relevant to five other branches of philosophy: epistemology, philosophy of science (and mathematics), metaphysics, language, and ethics. The readings are organized by philosophical fields, with selections evenly divided between philosophers and cognitive scientists. They draw on research in numerous areas of cognitive science, including cognitive psychology, developmental psychology, social psychology, psychology of reasoning and judgment, artificial intelligence, linguistics, and neuropsychology. There are timely treatments of current topics and debates such as the innate understanding of number, children's theory of mind, self-knowledge, consciousness, connectionism, and ethics and cognitive science.

Are there really beliefs? Or are we learning (from neuroscience and psychology, presumably) that, strictly speaking, beliefs are figments of our imagination, items in a superceded ontology? Philosophers generally regard such ontological questions as admitting just two possible answers: either beliefs exist or they don't. There is no such state as quasi-existence; there are no stable doctrines of semi-realism. Beliefs must either be vindicated along with the viruses or banished along with the banshees. A bracing conviction prevails, then, to the effect that when it comes to beliefs (and other mental items) one must be either a realist or an eliminative materialist.

climate scientists have been engaged in a decades-long debate over the standing of satellite measurements of the temperature trends of the atmosphere above the surface of the earth. This is especially significant because skeptics of global warming and the greenhouse effect have utilized this debate to spread doubt about global climate models used to predict future states of climate. I use this case from an under-studied science to illustrate two distinct philosophical approaches to the relation among data, scientists, measurement, models, and theory. I argue that distinguishing between 'direct' empiricist and 'complex' empiricist approaches helps us understand and analyze this important scientific episode. I also introduce a complex empiricist account of testing and evaluation, and contrast it with the basic Hypothetico-Deductive approach to the climate models used by the direct empiricists. This more developed complex empiricist apporach will serve philosophy of science well, as computational models become more wide-spread in the sciences.