Online research in philosophy

Recently, Hilary Kornblith has argued that epistemological investigation is substantially empirical. In the present paper, I will first show that his claim is not contingent upon the further and, admittedly, controversial assumption that all objects of epistemological investigation are natural kinds. Then, I will argue that, contrary to what Kornblith seems to assume, this methodological contention does not imply that there is no need for attending to our epistemic concepts in epistemology. Understanding the make-up of our concepts and, in particular, the purposes they fill, is necessary for a proper acknowledgement of epistemology's role in conceptual improvement.

Hilary Kornblith (1993) has recently offered a reliabilist defense of the use of the Law of Small Numbers in inductive inference. In this paper I argue that Kornblith's defense of this inferential rule fails for a number of reasons. First, I argue that the sort of inferences that Kornblith seeks to justify are not really inductive inferences based on small samples. Instead, they are knowledge-based deductive inferences. Second, I address Kornblith's attempt to find support in the work of Dorrit Billman and I try to show that close attention to the workings of her computational model reveals that it does not support Kornblith's argument. While the knowledge required to ground the inferences in question is perhaps inductively derived, Billman's work does not support the notion that small samples provide a reliable basis for our generalizing inferences.

Book Information Epistemology: Classic Problems and Contemporary Responses. By Laurence BonJour. Rowman and Littlefield. Lanham MD. 2002. Pp. viii + 289. Hardback, US$75. Paperback, US$23.95.

This thesis is, in part, a defence of a broad-based approach to epistemology. We should be wary of taking too narrow a focus and thus neglecting important aspects of knowledge. If we are too focused on one methodology then we are likely to miss insights that can come about from a different perspective. With this in mind, I investigate two particular methodologies in detail: Kornblith’s naturalism and Craig’s ‘genealogical’ approach. Kornblith emphasises the importance of looking at knowledge in the context of the natural world, thus stressing the continuity between animal and human knowledge. Craig, on the other hand, focuses on a distinctly human aspect of knowledge: the importance of enquiry and the sharing of information. As such, the two theories of knowledge that are developed have different emphases. I argue that by bringing them together we can better understand what knowledge is. This leads us to the other main contribution of this thesis, which is a defence of the role of reflection in epistemology. This has often been neglected in contemporary epistemology, primarily because of the effectiveness of externalist theories of knowledge. The focus on externalism has lead to reflection being sidelined. I do not argue that reflection is necessary for knowledge, but rather want to bring back attention to the important role that it plays in human life. Reflectively accessible justification is necessary for our knowledge claims and therefore plays a vital role in enquiry. If we add reflectively accessible justification to knowledge then it is both more stable and more valuable. Even if it is not necessary for knowledge, reflection should not be neglected.

In his Inductive Inference and Its Natural Ground: An Essay in Naturalistic Epistemology, Hilary Kornblith presents an argument for the justification of induction that is bold, brilliant, and plausible, but radically incomplete. In the development of this position, Kornblith relies heavily on the philosophical work of Richard Boyd as well as on some empirical psychological studies. As Kornblith sees it, the philosophical position entailed by his proposed solution to the problem is a thoroughgoing, realistic, scientific materialism. I will argue that the brand of realism that Kornblith’s solution to the problem of induction presupposes is inexplicable within the context of the non-reductive materialism that he espouses. Although Kornblith provides us with valuable elements for a solution to the problem of induction, it needs to be supplemented with something like a renovated Aristotelian notion of form in order for the solution to be plausible.

Hilary Kornblith argues for a naturalistic approach to investigating knowledge. Knowledge, he explains, is a feature of the natural world, and so should be investigated using scientific methods. He offers an account of knowledge derived from the science of animal behavior, and defends this against its philosophical rivals. This controversial and refreshingly original book offers philosophers a new way to do epistemology.

This paper explores Kornblith’s proposal in Knowledge and its Place in Nature that knowledge is a natural kind that can be elucidated and understood in scientific terms. Central to Kornblith’s development of this proposal is the claim that there is a single category of unreflective knowledge that is studied by cognitive ethologists and is the proper province of epistemology. This claim is challenged on the grounds that even unreflective knowledge in language-using humans reflects forms of logical reasoning that are in principle unavailable to nonlinguistic animals.