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)

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)

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)

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 article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical communication theory (...) and, with the help of evolutionary biology and neurophysiology, to attempt a characterization of the adaptive processes involved in visual perception. Visual representations are explained as patterns of cortical activity that are enabled to focus on objects in the changing visual environment by constantly adjusting to maintain levels of mutual information between pattern and object that are adequate for continuing perceptual control. In these terms, the answer proposed to (1) is that the intentional functions of vision are those involved in the establishment and maintenance of such representations, and to (2) that semantic features are added to the information processes of vision with the focus on objects that these representations accomplish. The article concludes with proposals for extending this account of intentionality to the higher domains of conceptualization and reason, and with speculation about how semantic information-processing might be achieved in mechanical systems. (shrink)

In this paper, we argue that the comparator model is not a satisfactory model of sense of agency (SoA). We present a theoretical argument and experimental studies. We show (1) most studies of SoA neglect a distinction between SoA associated with movements (narrow SoA) and SoA associated with environmental events (broad SoA); (2) the comparator model emerges from experimental studies of sensory consequences narrowly associated with movements; (3) narrow SoA can be explained by a comparator model, but a motor signal (...) model is simpler and explain narrow SoA equally well; and (4) standard experimental paradigms study only broad SoA. Finally, we present results from two experiments, where we have failed to induce illusory narrow SoA in healthy participants. We believe our experimental approaches should have led to illusory SoA, if the comparator model of SoA was correct. The results challenge proponents of the comparator model of narrow SoA. (shrink)