Download Critiques of Knowing: Situated Textualities in Science, by Lynette Hunter PDF

By Lynette Hunter

Evaluations of figuring out explores what occurs to technology and computing once we consider them as texts. Lynette Hunter elegantly weaves jointly massive parts of suggestion: rhetoric, politics, AI, computing, feminism, technology stories, aesthetics and epistemology.Critiques of figuring out indicates us that what we'd like is a thorough shake-up of ways to the humanities if the opinions of technological know-how and computing are to return to any fruition.

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A less prophetic and certainly less political analysis is made by John Haugeland. In a book specifically related to AI, he documents the history of materialist thinking on cognitive psychology, to the end of the eighteenth century. 36 The commentary picks the history up again in the twentieth century with the emergent field of artificial intelligence, conveniently leaving out the nineteenth century as ‘idealist’, yet in the process also leaving out Marx, who supplies the one thing Haugeland’s argument is trying to move toward: context.

53 And whereas Foucault is frequently criticised for ignoring the conditions of the private in favour of those of the state, Freud’s emphasis on the family at the expense of public politics somewhat redresses the balance. Not enough distinction is made between Freud’s elaboration of a vocabulary that is specific to the relationship between the nation state and its subjects and Foucault’s opening out of the concept of discourse. The particular rhetorical structure of Freud’s ideology-subject axis is quite different from the much wider field of subordinate discourses which work with and alongside capitalist nation states, but which contest the determinism of that axis.

24 This is the question posed by Alan Turing when he proposed the ‘Turing’ test in the 1940s. The Turing test basically consists of the following proposition: if you ask a machine questions and from its answers cannot tell the difference between those answers and what you would expect from a human being, then the machine could be said to be ‘intelligent’. The debate over whether a machine can act intelligently has since become quite complex, and has generated numerous arguments over ‘strong’ and ‘weak’ AI.

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