The heart of philosophy is metaphysics, and at the heart of the heart lie two questions about existence. What is it for any contingent thing to exist? Why does any contingent thing exist? Call these the nature question and the ground question, respectively. The first concerns the nature of the existence of the contingent existent; the second concerns the ground of the contingent existent. Both questions are ancient, and yet perennial in their appeal; both have presided over the burial of (...) so many of their would-be undertakers that it is a good induction that they will continue to do so. For some time now, the preferred style in addressing such questions has been deflationary when it has not been eliminativist. Ask Willard Quine what existence is, and you will hear that "Existence is what existential quantification expresses. "! Ask Bertrand Russell what it is for an individual to exist, and he will tell you that an individual can no more exist than it can be numerous: there 2 just is no such thing as the existence of individuals. And of course Russell's eliminativist answer implies that one cannot even ask, on pain of succumbing to the fallacy of complex question, why any contingent individual exists: if no individual exists, there can be no question why any individual exists. Not to mention Russell's modal corollary: 'contingent' and 'necessary' can only be said de dicto (of propositions) and not de re (of things). (shrink)

W. F. R. Hardie; X—Aristotle's Doctrine that Virtue is a “Mean”, Proceedings of the Aristotelian Society, Volume 65, Issue 1, 1 June 1965, Pages 183–204, https.

`Folk Psychology' - our everyday talk of beliefs, desires and mental events - has long been compared with the technical language of `Cognitive Science'. Does folk psychology provide a correct account of the mental causes of our behaviour, or must our everyday terms ultimately be replaced by a language developed from computational models and neurobiology? This broad-ranging book addresses these questions, which lie at the heart of psychology and philosophy. Providing a critical overview of the key literature in the field, (...) including the seminal work of Fodor and Churchland, the author explores the classic `Frame Problem' and assesses the future prospects of cognitive science. The scope of the frame problem, touching on connec. (shrink)

This paper investigates connectionism's potential to solve the frame problem. The frame problem arises in the context of modelling the human ability to see the relevant consequences of events in a situation. It has been claimed to be unsolvable for classical cognitive science, but easily manageable for connectionism. We will focus on a representational approach to the frame problem which advocates the use of intrinsic representations. We argue that although connectionism's distributed representations may look promising from this perspective, doubts can (...) be raised about the potential of distributed representations to allow large amounts of complexly structured information to be adequately encoded and processed. It is questionable whether connectionist models that are claimed to effectively represent structured information can be scaled up to a realistic extent. We conclude that the frame problem provides a difficulty to connectionism that is no less serious than the obstacle it constitutes for classical cognitive science. (shrink)

G. W. F. Hegel is an immensely important yet difficult philosopher. Philosophy of Mind is the third part of Hegel's Encyclopaedia of the Philosophical Sciences, in which he summarizes his philosophical system. It is one of the main pillars of his thought. Michael Inwood presents this central work to the modern reader in an intelligible and accurate new translation---the first into English since 1894---that loses nothing of the style of Hegel's thought. In his editorial introduction Inwood offers a philosophically sophisticated (...) evaluation of Hegel's ideas which includes a survey of the whole of Hegel's thought and detailed analysis of the terminology he used. (shrink)

The various discussions on morals which have recently appeared in the pages of this journal, like most modern discussions of the subject, have had to concern themselves with two antitheses, between the good and the right, and between duty and interest. As to the first, is the good what it is because it is right, or is right what it is because it is good? Or may the two be distinct, so that what is right is not necessarily good? And (...) if it is not good, is it bad? Or do the right and the good overlap? For the second, the antithesis between duty and interest—“of course,” says one, “the two have nothing to do with one another; the more carefully we keep them apart, the better.” In rare instances, indeed, it will be allowed that my duty may coincide with my interest; but when it does so, it is felt to be shorn of half its worth. If it pays me to tell the truth, what thank have I for all my veracity? (shrink)

In this module, which first appeared in Vol. 9, Nos. 2&3, pp. 168-170, 1989, an error in a formula appeared three times: CO2 and C2HSOH should read CO2. The entire article is reprinted here. The editors apoligize for this and regret any confusion this may have caused.

Rapid developments in Artificial Intelligence are leading to an increasing human reliance on machine decision making. Even in collaborative efforts with Decision Support Systems (DSSs), where a human expert is expected to make the final decisions, it can be hard to keep the expert actively involved throughout the decision process. DSSs suggest their own solutions and thus invite passive decision making. To keep humans actively ‘on’ the decision-making loop and counter overreliance on machines, we propose a ‘reflection machine’ (RM). This (...) system asks users questions about their decision strategy and thereby prompts them to evaluate their own decisions critically. We discuss what forms RMs can take and present a proof-of-concept implementation of a RM that can produce feedback on users’ decisions in the medical and law domains. We show that the prototype requires very little domain knowledge to create reasonably intelligent critiquing questions. With this prototype, we demonstrate the technical feasibility to develop RMs and hope to pave the way for future research into their effectiveness and value. (shrink)