This paper concerns Alan Turing’s ideas about machines, mathematical methods of proof, and intelligence. By the late 1930s, Kurt Gödel and other logicians, including Turing himself, had shown that no finite set of rules could be used to generate all true mathematical statements. Yet according to Turing, there was no upper bound to the number of mathematical truths provable by intelligent human beings, for they could invent new rules and methods of proof. So, the output of a human mathematician, for (...) Turing, was not a computable sequence (i.e., one that could be generated by a Turing machine). Since computers only contained a finite number of instructions (or programs), one might argue, they could not reproduce human intelligence. Turing called this the “mathematical
objection” to his view that machines can think. Logico-mathematical reasons, stemming from his own work, helped to convince Turing that it should be possible to reproduce human intelligence, and eventually compete with it, by developing the appropriate kind of digital computer. He felt it
should be possible to program a computer so that it could learn or discover new rules, overcoming the limitations imposed by the incompleteness and undecidability results in the same way that human
mathematicians presumably do. (shrink)

Nature's experiments in isolation—the wild boy of Aveyron, Genie, their name is hardly legion—are by their nature illusive. Helen Keller, blind and deaf from her 18th month and isolated from language until well into her sixth year, presents a unique case in that every stage in her development was carefully recorded and she herself, graduate of Radcliffe College and author of 14 books, gave several careful and insightful accounts of her linguistic development and her cognitive and sensory situation. Perhaps because (...) she is masked, and enshrined, in William Gibson's mythic and false Miracle worker, cognitive scientists have yet to come to terms with this richly enlightening, albeit anecdotal, resource. (shrink)

Cognitive science is held, not only by its practitioners, to offer something distinctively new in the philosophy of mind. This novelty is seen as the product of two factors. First, philosophy of mind takes itself to have well and truly jettisoned the ‘old paradigm’, the theory of the mind as embodied soul, easily and completely known through introspection but not amenable to scientific inquiry. This is replaced by the ‘new paradigm’, the theory of mind as neurally-instantiated computational mechanism, relatively opaque (...) to introspection and the proper subject of detailed empirical investigation. Second, in the constitutive disciplines of cognitive science we have for the first time the theoretical, experimental and technological resources to begin this investigation. My concern here is to show that, despite its scientific and philosophical sophistication, the new paradigm is in certain striking ways very similar to the old paradigm and that Wittgenstein's criticisms of the former apply to much of the latter. (shrink)

It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks 'unorganised machines'. By the application of what he described as 'appropriate interference, mimicking education' an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of 'neurons' is sufficient. Turing proposed simulating both the behaviour of the (...) network and the training process by means of a computer program. We outline Turing's connectionist project of 1948. (shrink)

It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks unorganised machines. By the application of what he described as appropriate interference, mimicking education an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of neurons is sufficient. Turing proposed simulating both the behaviour of the (...) network and the training process by means of a computer program. We outline Turing's connectionist project of 1948. (shrink)

A myth has arisen concerning Turing's paper of 1936, namely that Turing set forth a fundamental principle concerning the limits of what can be computed by machine - a myth that has passed into cognitive science and the philosophy of mind, to wide and pernicious effect. This supposed principle, sometimes incorrectly termed the 'Church-Turing thesis', is the claim that the class of functions that can be computed by machines is identical to the class of functions that can be computed by (...) Turing machines. In point of fact Turing himself nowhere endorses, nor even states, this claim (nor does Church). I describe a number of notional machines, both analogue and digital, that can compute more than a universal Turing machine. These machines are exemplars of the class of _nonclassical_ computing machines. Nothing known at present rules out the possibility that machines in this class will one day be built, nor that the brain itself is such a machine. These theoretical considerations undercut a number of foundational arguments that are commonly rehearsed in cognitive science, and gesture towards a new class of cognitive models. (shrink)

This dissertation seeks to examine the validity of the justification commonly offered for a coercive (1) psychiatric intervention, namely that the intervention was in the ‘best interests’ of the subject and/or that the subject posed a danger to others. As a first step,it was decided to analyse justifications based on ‘best interests’ [the ‘Stage 1’ argument] separately from those based on dangerousness [the ‘Stage 2’ argument]. Justifications based on both were the focus of the ‘Stage 3’ argument. Legal and philosophical (...) analyses of coercive psychiatric interventions generally regard such interventions as embodying a benign paternalism occasioning slight, if any, ethical concern. Whilst there are some dissenting voices even at the very heart of academic and professional psychiatry, the majority of psychiatrists also appear to share such views. The aim of this dissertation is to show that such a perspective is mistaken and that such interventions raise philosophical and ethical questions of the profoundest importance.(2) The philosophical well-spring of the Stage 1 dissertation argument lay in an observation made by Philippa Foot (3) that the “… right to be let free from unwanted interference” is one of the most fundamental and distinctive rights of persons, a right which takes precedence over any “… action we would dearly like to take for his sake.” This – in conjunction with the recognition that some coercive psychiatric interventions are of a gravity as to result in the personhood of the subject being severely damaged if not destroyed – suggested that the concept of personhood play a central role in the formulation of the dissertation argument. For ease of analysis it was presumed that the term ‘person’ could be defined by a set of necessary and sufficient conditions of which ‘minimum levels of rationality’ and ‘ability to communicate’ were the only conditions relevant to the formulation of justifications for coercive psychiatric interventions. This presumption was explicated into a number of postulates which enabled the construction of a rigorous foundation on which to develop the dissertation argument. This argument then sought to determine whether psychiatric assessments of irrationality were accurate and reliable. In furtherance of this analysis it was necessary to examine the reliability of psychiatric determinations in other areas of claimed expertise namely diagnosis, treatment and assessment of dangerousness. This ‘crossing of the disciplinary threshold’ brought to light the dearth of studies on psychiatric misdiagnosis and iatrogenic harm. A variant of the Precautionary Principle was developed to enable the extent of such harms to be estimated. The not insignificant levels of psychiatric misdiagnosis and iatrogenic harm and erroneous assessments of dangerousness which were thus found are of considerable relevance to any ethical analysis of the justification for coercive psychiatric intervention and serve to undermine simple paternalistic justifications. --- (1)The term ‘coercive’ (rather than ‘non-consensual’) is used to indicate an intervention carried out against the explicit and contemporaneous objections of the subject (2)Not least because the number of individuals detained in Irish psychiatric hospitals is of a comparable order of magnitude to the number detained in Irish prisons subsequent to a criminal conviction (3)See Foot (1977), p.102. (shrink)

I analyze Wittgenstein’s criticism of several assumptions that are crucial for a large part of cognitive science. These involve the concepts of computational processes in the brain which cause mental states and processes, the algorithmic processing of information in the brain (neural system), the brain as a machine, psycho physical parallelism, the thinking machine, as well as the confusion of rule following with behavior in accordance with the rule. In my opinion, the theorists of cognitive science have not yet seriously (...) considered Wittgenstein’s criticism so they, quite surprisingly, frequently confuse the question “how does it work?” with “what does it do?” But their most “deleterious” mistake is their confusion of the internal computational (or parallel) processes taking place in the brain (which possibly cause mental states) with socially-based, everyday criteria of recognition and classification of, and knowledge about, the content of mental states. (shrink)

In diesem Essay analysiert der Autor Wittgensteins Kritik an einigen Annahmen, die für einen Großteil der Kognitionswissenschaft von zentraler Bedeutung sind. Diese umfassen die Konzepte von komputationalen Prozessen im Gehirn, die mentale Zustände und Prozesse hervorbringen, die algorythmische Informationsprozessierung im Gehirn , das Gehirn als Maschine, den psychophysischen Parallelismus, die Denkmaschine sowie die Konfusion der Regel, die dem Benehmen folgt im Einklang mit dieser Regel. Nach des Autors Meinung haben die Theoretiker der Kognitionswissenschaft Wittgensteins Kritik noch immer nicht ernsthaft erörtert, (...) so dass sie, was verwundern mag, häufig die Frage „Wie funktioniert das?“ mit der Frage „Was macht das?“ verwechseln. Doch ihr „verhängnisvollster“ Fehler besteht in der Verwechslung interner komputationaler Prozesse, die im Gehirn stattfinden mit sozialbegründeten, alltäglichen Kriterien des Erkennens und der Klassifizierung des Inhalts und des Wissens vom Inhalt mentaler Zustände. (shrink)