Many philosophers believe that there is a fundamental distinction between knowing that something is the case and knowing how to do something. According to Gilbert Ryle, to whom the insight is credited, knowledge-how is an ability, which is in turn a complex of dispositions. Knowledge-that, on the other hand, is not an ability, or anything similar. Rather, knowledge-that is a relation between a thinker and a true proposition.

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.

The first full-scale history of cognitive science, this work addresses a central issue: What is the nature of knowledge?

Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by focusing the infant's (...) attention on proprietary inputs. Development does not stop at efficient learning. A fundamental aspect of human development (“representational redescription”) is the hypothesized process by which information that isina cognitive system becomes progressively explicit knowledgetothat system. Development thus involves two complementary processes of progressive modularization and progressive “explicitation.” Empirical findings on the child as linguist, physicist, mathematician, psychologist, and notator are discussed in support of the theoretical framework. Each chapter concentrates first on the initial state of the infant mind/brain and on subsequent domain-specific learning in infancy and early childhood. It then goes on to explore data on older children's problem solving and theory building, with particular focus on evolving cognitive flexibility. Emphasis is placed throughout on the status of representations underlying different capacities and on the multiple levels at which knowledge is stored and accessible. Finally, consideration is given to the need for more formal developmental models, and a comparison is made between representational redescription and connectionist simulations of development. In conclusion, I consider what is special about human cognition by speculating on the status of representations underlying the structure of behavior in other species. (shrink)

Something remarkable is happening in the cognitive sciences. After a quarter of a century of cognitive models that were inspired by the metaphor of the digital computer, the newest cognitive models are inspired by the properties of the brain itself. Variously referred to as connectionist, parallel distributed processing, or neutral network models, they explore the idea that complex intellectual operations can be carried out by large networks of simple, neuron-like units. The units themselves are identical, very low-level and 'stupid'. Intelligent (...) performance is derived from the pattern of connection strengths between units, and the fundamental cognitive activity is pattern recognition and completion. Connectionism and the Mind provides an introduction to this newly emerging approach to understanding the mind. The first few chapters focus on network architecture, offering accessible treatment of the equations that describe learning and the propagation of activation. Furthermore, the reader is walked step-by-step through the activities of networks engaged in pattern recognition, learning, and cognitive tasks such as memory retrieval and prototype formation. The remainder of the book addresses the implications of connectionism for theories of the mind, both philosophical and psychological. Foe example: What Role is played by pattern recognition and completion as basic as cognitive functions? Connectionist models have particular strength in learning and pattern recognition; should they be limited to those functions, or can they provide an overall account of cognitive functioning? In particular, can connectionist models provide an adequate account of the ability to employ linguistic and other symbol systems, or must an adequate system incorporate symbol processing as a basic cognitive capacity? Finally, Connectionism and the Mind examines the relation of connectionist models to philosophical accounts of propositional attitudes, and to a variety of other inquiries in cognitive psychology, linguistics, developmental psychology, artificial intelligence and neuroscience. (shrink)

The purpose of this paper is to raise some questions about the idea, which was first made prominent by Gilbert Ryle, and has remained associated with him ever since, that there are at least two types of knowledge (or to put it in a slightly different way, two types of states ascribed by knowledge ascriptions) identified, on the one hand, as the knowledge (or state) which is expressed in the ‘knowing that’ construction (sometimes called, for fairly obvious reasons, ‘propositional’ or (...) ‘factual’ knowledge) and, on the other, as the knowledge (or state) which is ascribed in the ‘knowing how’ construction (sometimes called ‘practical’ knowledge). This idea, which might be said to be Ryle's most lasting philosophical legacy, has, in some vague form, remained part of conventional wisdom in philosophy since he put it forward. My purpose here is fairly accurately described as ‘raising questions’, since both the criticisms of the received view (as I interpret it), and the positive alternative suggestions to be advanced, are, to some extent, tentative and exploratory. The aim is to assemble a broad range of evidence for the conclusion that we need to replace the standard account, to query especially what Ryle suggested as evidence for it, and to explore what seems to me to be the indicated replacement for it. (shrink)

How might epistemology build upon its past and present, so as to be better in the future? Epistemology Futures takes bold steps towards answering that question. What methods will best serve epistemology? Which phenomena and concepts deserve more attention from it? Are there approaches and assumptions that have impeded its progress until now? This volume contains provocative essays by prominent epistemologists, presenting many new ideas for possible improvements in how to do epistemology. Contributors: Paul M. Churchland, Catherine Z. Elgin, Richard (...) Feldman, A. C. Grayling, Stephen Hetherington, Christopher Hookway, Hilary Kornblith, Mark Kaplan, William G. Lycan, Adam Morton, Jonathan M. Weinberg, Linda Zagzebski. (shrink)

We begin with a puzzle: why do some know-how attributions entail ability attributions while others do not? After rejecting the tempting response that know-how attributions are ambiguous, we argue that a satisfactory answer to the puzzle must acknowledge the connection between know-how and concept possession (specifically, reasonable conceptual mastery, or understanding). This connection appears at first to be grounded solely in the cognitive nature of certain activities. However, we show that, contra anti-intellectualists, the connection between know-how and concept possession can (...) be generalized via reflection on the cognitive nature of intentional action and the potential of certain misunderstandings to undermine know-how even when the corresponding abilities and associated propositional knowledge are in place. Such considerations make explicit the intimate relation between know-how and understanding, motivating a general intellectualist analysis of the former in terms of the latter. (shrink)

A crucial part of the knowledge of molecular biologists is procedural knowledge, that is, knowledge of how to do things in laboratories. Procedural knowledge of molecular biologists involves both perceptual-motor skills and cognitive skills. We discuss such skills required in performing the most commonly used molecular biology techniques, namely, Polymerase Chain Reaction and gel electrophoresis. We argue that procedural knowledge involved in performing these techniques is more than just knowing their protocols. Creative exploration and experience are essential for the acquisition (...) of procedural knowledge in molecular biology. With enough experience, molecular biologists make intuitive judgments without recourse to analytical reasoning. We propose that procedural knowledge is intuitive recognition of the patterns of one's environment that are the most relevant for making a decision or acting appropriately. Finally, we argue that knowledge of molecular biologists requires an integration of procedural knowledge and propositional knowledge. (shrink)

This paper questions the view that knowledge must be articulable or at least experiential. It asserts that what distinguishes habitual yet intentional action from a mechanistic response is its grounding in a suitable claim to knowledge. However, it denies that a necessary condition for knowing how to perform an action is the ability of the subject to either articulate the particulars of that act, or experience it as appropriate.