Opis

• Tytuł:
  False Re-Representations in Self-Knowledge
• Twórca:
  Pacholik-Żuromska, Anita
• Opis:
  Self-knowledge (SK) is a natural ability of the human cognitive system and is defined as a complex re-representation of knowledge subject has about her own internal states. It is composed of two basic representations: the representation of I and the representation of the experienced state. SK has a propositional (i.e. language-like) form and can be expressed in the form of self-reports like “I believe that I believe that p”. It has then the form of a second-order belief which, as a re-representation, generates the following problem concerning false representations: if the first-order representations of the I or of experienced states can be false like in cases of self-illusions or disorders like somatoparaphrenia, then how can error in self-cognition inherited by the re-representation (i.e. by SK) be avoided?I claim that the re-representational model of SK is a useful but artificial tool for the description of the components of SK; however, it is misleading to think of it as capturing the truth about SK. I propose here a representational model of SK which reduces those beliefs constituting SK to first-order beliefs which are sufficient as constituents of SK.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Prawa autorskie (c) 2020 Logic and Logical Philosophy
• Data:
  2020.04.01
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  Logic and Logical Philosophy; Vol. 29 No. 3 (2020): September; 463-481;
  Logic and Logical Philosophy; Tom 29 Nr 3 (2020): September; 463-481;
  2300-9802;
  1425-3305
• Format:
  application/pdf
• Publisher:
  Uniwersytet Mikołaja Kopernika w Toruniu
• Relation: https://apcz.umk.pl/LLP/article/view/LLP.2020.007/25317
• Subject:
  self-knowledge;
  representations;
  misidentification;
  propositional attitudes;
  self-model;
  applied logic
• Identifier: https://apcz.umk.pl/LLP/article/view/LLP.2020.007
• Data provider:
  Akademicka Platforma Czasopism
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