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<item>
  <id>05386306</id>
  <dt>j</dt>
  <an>05386306</an>
  <augroup>
    <au>Dartnall, Terry</au>
  </augroup>
  <ti>Reverse psychologism, cognition and content.</ti>
  <so>Minds Mach. 10, No. 1, 31-52 (2000).</so>
  <py>2000</py>
  <pu>Springer, Dordrecht</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
    <cc>I.2.0</cc>
  </ccgroup>
  <utgroup>
    <ut>cognition</ut>
    <ut>content</ut>
    <ut>psychologism</ut>
    <ut>reverse psychologism</ut>
    <ut>meaning</ut>
    <ut>proposition</ut>
    <ut>cognitive science</ut>
    <ut>strong AI</ut>
    <ut>Chinese room</ut>
    <ut>Chinese gymnasium</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1023/A:1008398403730</li>
  </ligroup>
  <abgroup>
    <ab>Summary: The confusion between cognitive states and the content of cognitive states that give rise to psychologism also give rise to {\"\i}reverse{\"\i} psychologism. Weak reverse psychologism says that we can study cognitive states by studying content -- for instance, that we can study the mind by studying linguistics or logic. This attitude is endemic in cognitive science and linguistic theory. Strong reverse psychologism says that we can {\"\i}generate{\"\i} cognitive states by giving computers representations that express the content of cognitive states and that play a role in causing appropriate behaviour. This gives us strong representational, classical AI (REPSCAI), and I argue that it cannot succeed. This is not, as Searle claims in his Chinese Room Argument, because syntactic manipulation cannot generate content. Syntactic manipulation {\"\i}can{\"\i} generate content, and this is abundantly clear in the Chinese Room scenario. REPSCAI cannot succeed because inner content is not sufficient for cognition, even when the representations that carry the content play a role in generating appropriate behaviour. (Provider: Leibiger)</ab>
    <rv></rv>
  </abgroup>
</item>