In the never-ending debate about the scope and limits of science, the hottest argument now centres on the scientific study of man himself. Can there be a science of man at all, in any comprehensive sense? Or is the idea in some way ultimately self-defeating, like that of pulling oneself up by one's own shoelaces? My purpose in this paper is not to venture a direct answer to this ticklish question, but rather to highlight one or two desirable characteristics of (...) a science which I think must inevitably be lacking in any attempt to turn the scientific spotlight upon ourselves. Whether we call the attainable residue by the name of ‘science’ is less important than that we see clearly what not to expect of it. (shrink)

Voluntary acts are preceded by electrophysiological (RPs). With spontaneous acts involving no preplanning, the main negative RP shift begins at about200 ms. Control experiments, in which a skin stimulus was timed (S), helped evaluate each subject's error in reporting the clock times for awareness of any perceived event.

Alan Turing’s influence on subsequent research in artificial intelligence is undeniable. His proposed test for intelligence remains influential. In this paper, I propose to analyze his conception of intelligence by relying on traditional close reading and language technology. The Turing test is interpreted as an instance of conceptual engineering that rejects the role of the previous linguistic usage, but appeals to intuition pumps instead. Even though many conceive his proposal as a prime case of operationalism, it is more plausibly viewed (...) as a stepping stone toward a future theoretical construal of intelligence in mechanical terms. To complete this picture, his own conceptual network is analyzed through the lens of distributional semantics over the corpus of his written work. As it turns out, Turing’s conceptual engineering of the notion of intelligence is indeed quite similar to providing a precising definition with the aim of revising the usage of the concept. However, that is not its ultimate aim: Turing is after a rich theoretical understanding of thinking in mechanical, i.e., computational, terms. (shrink)

This paper traces the application of information theory to philosophical problems of mind and meaning from the earliest days of the creation of the mathematical theory of communication. The use of information theory to understand purposive behavior, learning, pattern recognition, and more marked the beginning of the naturalization of mind and meaning. From the inception of information theory, Wiener, Turing, and others began trying to show how to make a mind from informational and computational materials. Over the last 50 years, (...) many philosophers saw different aspects of the naturalization of the mind, though few saw at once all of the pieces of the puzzle that we now know. Starting with Norbert Wiener himself, philosophers and information theorists used concepts from information theory to understand cognition. This paper provides a window on the historical sequence of contributions made to the overall project of naturalizing the mind by philosophers from Shannon, Wiener, and MacKay, to Dennett, Sayre, Dretske, Fodor, and Perry, among others. At some time between 1928 and 1948, American engineers and mathematicians began to talk about `Theory of Information' and `Information Theory,' understanding by these terms approximately and vaguely a theory for which Hartley's `amount of information' is a basic concept. I have been unable to find out when and by whom these names were first used. Hartley himself does not use them nor does he employ the term `Theory of Transmission of Information,' from which the two other shorter terms presumably were derived. It seems that Norbert Wiener and Claude Shannon were using them in the Mid-Forties. (shrink)

This paper explores the suggestion that our conscious experience is embodied in, rather than interactive with, our brain activity, and that the distinctive brain correlate of conscious experience lies at the level of global functional organization. To speak of either brains or computers as thinking is categorically inept, but whether stochastic mechanisms using internal experimentation rather than rule‐following to determine behavior could embody conscious agency is argued to be an open question, even in light of the Christian doctrine of man. (...) Mechanistic brain science does nothing to discredit Christian experience in dialogue with God or the Christian hope of eternal life. (shrink)

In the never-ending debate about the scope and limits of science, the hottest argument now centres on the scientific study of man himself. Can there be a science of man at all, in any comprehensive sense? Or is the idea in some way ultimately self-defeating, like that of pulling oneself up by one's own shoelaces? My purpose in this paper is not to venture a direct answer to this ticklish question, but rather to highlight one or two desirable characteristics of (...) a science which I think must inevitably be lacking in any attempt to turn the scientific spotlight upon ourselves. Whether we call the attainable residue by the name of ‘science’ is less important than that we see clearly what not to expect of it. (shrink)