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The Measure of Mind : Propositional Attitudes and Their Attribution. 精神の測定-命題態度とその帰属
・ISBN 978-0-19-921125-8 2007 hard GB£ 76.00
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★★★
・ISBN 978-0-19-958553-3 2001 paper GB£ 45.99
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納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-19-170572-4
| 著者・編者 | Matthews, Robert J., |
|---|---|
| 出版社 | (Oxford U. Pr., UK) |
| ページ数 | 278 pp. |
| 言語 | ENG |
| ニュース番号 | <537-L21 L03-76> |
解説
The Measure of Mind provides a sustained critique of a widely held representationalist view of propositional attitudes and their role in the production of thought and behaviour. On this view, having a propositional attitude is a matter of having an explicit representation that plays a particular causal/computational role in the production of thought and behaviour. Robert J. Matthews argues that this view does not enjoy the theoretical or the empirical support that proponents claim for it; moreover, the view misconstrues the role of propositional attitude attributions in cognitive scientific theorizing. The Measure of Mind goes on to develop an alternative measurement-theoretic account of propositional attitudes and the sentences by which we attribute them. On this account, the sentences by which we attribute propositional attitudes function semantically like the sentences by which we attribute a quantity of some physical magnitude (e.g., having a mass of 80 kilos). That is, in much the same way that we specify a quantity of some physical magnitude by means of its numerical representative on a measurement scale, we specify propositional attitude of a given type by means of its representative in a linguistically-defined measurement space. Propositional attitudes turn out to be causally efficacious aptitudes for thought and behaviour, not semantically evaluable mental particulars of some sort. Matthews' measurement-theoretic account provides a more plausible view of the explanatorily relevant properties of propositional attitudes, the semantics of propositional attitude attributions, and the role of such attributions in computational cognitive scientific theorizing.