naturalism, theological See THEOLOGICAL NATU -. RALIS. naturalistic epistemology, an approach to epistemology that views the human subject as a natural phenomenon and uses empirical science to study epistemic activity. The phrase was introduced by Quine (‘Epistemology Naturalized,’ in Ontological Relativity and Other Essays, 1969), who proposed that epistemology should be a chapter of psychology. Quine construed classical epistemology as Cartesian epistemology, an attempt to ground all knowledge in a firmly logical way on immediate experience. In its twentieth-century embodiment, it hoped to give a translation of all discourse and a deductive validation of all science in terms of sense experience, logic, and set theory. Repudiating this dream as forlorn, Quine urged that epistemology be abandoned and replaced by psychology. It would be a scientific study of how the subject takes sensory stimulations as input and delivers as output a theory of the three-dimensional world. This formulation appears to eliminate the normative mission of epistemology. In later writing, however, Quine has suggested that normative epistemology can be naturalized as a chapter of engineering: the technology of predicting experience, or sensory stimulations.
Some theories of knowledge are naturalistic in their depiction of knowers as physical systems in causal interaction with the environment. One such theory is the causal theory of knowing, which says that a person knows that p provided his belief that p has a suitable causal connection with a corresponding state of affairs. Another example is the information-theoretic approach developed by Dretske (Knowledge and the Flow of Information, 1981). This says that a person knows that p only if some signal ‘carries’ this information (that p) to him, where information is construed as an objective commodity that can be processed and transmitted via instruments, gauges, neurons, and the like. Information is ‘carried’ from one site to another when events located at those sites are connected by a suitable lawful dependence. The normative concept of justification has also been the subject of naturalistic construals. Whereas many theories of justified belief focus on logical or probabilistic relations between evidence and hypothesis, naturalistic theories focus on the psychological processes causally responsible for the belief. The logical status of a belief does not fix its justificational status. Belief in a tautology, for instance, is not justified if it is formed by blind trust in an ignorant guru. According to Goldman (Epistemology and Cognition, 1986), a belief qualifies as justified only if it is produced by reliable belief-forming processes, i.e., processes that generally have a high truth ratio. Goldman’s larger program for naturalistic epistemology is called ‘epistemics,’ an interdisciplinary enterprise in which cognitive science would play a major role. Epistemics would seek to identify the subset of cognitive operations available to the human cognizer that are best from a truth-bearing standpoint. Relevant truth-linked properties include problem-solving power and speed, i.e., the abilities to obtain correct answers to questions of interest and to do so quickly. Close connections between epistemology and artificial intelligence have been proposed by Clark Glymour, Gilbert Harman, John Pollock, and Paul Thagard. Harman stresses that principles of good reasoning are not directly given by rules of logic. Modus ponens, e.g., does not tell you to infer q if you already believe p and ‘if p then q’. In some cases it is better to subtract a belief in one of the premises rather than add a belief in q. Belief revision also requires attention to the storage and computational limitations of the mind. Limits of memory capacity, e.g., suggest a principle of clutter avoidance: not filling one’s mind with vast numbers of useless beliefs (Harman, Change in View, 1986). Other conceptions of naturalistic epistemology focus on the history of science. Larry Laudan conceives of naturalistic epistemology as a scientific inquiry that gathers empirical evidence concerning the past track records of various scientific methodologies, with the aim of determining which of these methodologies can best advance the chosen cognitive ends. Naturalistic epistemology need not confine its attention to individual epistemic agents; it can also study communities of agents. This perspective invites contributions from sciences that address the social side of the knowledge-seeking enterprise. If naturalistic epistemology is a normative inquiry, however, it must not simply describe social practices or social influences; it must analyze the impact of these factors on the attainment of cognitive ends. Philosophers such as David Hull, Nicholas Rescher, Philip Kitcher, and Alvin Goldman have sketched models inspired by population biology and economics to explore the epistemic consequences of alternative distributions of research activity and different ways that professional rewards might influence the course of research.
See also ARTIFICIAL INTELLIGENCE , EPISTE- MOLOGY , NATURALISM , RELIABILIS. A.I.G.