Opis

• Tytuł:
  Computability and human symbolic output
• Twórca:
  Megill, Jason;
  Melvin, Tim
• Opis:
  This paper concerns “human symbolic output,” or strings of characters produced by humans in our various symbolic systems; e.g., sentences in a natural language, mathematical propositions, and so on. One can form a set that consists of all of the strings of characters that have been produced by at least one human up to any given moment in human history. We argue that at any particular moment in human history, even at moments in the distant future, this set is finite. But then, given fundamental results in recursion theory, the set will also be recursive, recursively enumerable, axiomatizable, and could be the output of a Turing machine. We then argue that it is impossible to produce a string of symbols that humans could possibly produce but no Turing machine could. Moreover, we show that any given string of symbols that we could produce could also be the output of a Turing machine. Our arguments have implications for Hilbert’s sixth problem and the possibility of axiomatizing particular sciences, they undermine at least two distinct arguments against the possibility of Artificial Intelligence, and they entail that expert systems that are the equals of human experts are possible, and so at least one of the goals of Artificial Intelligence can be realized, at least in principle.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Prawa autorskie (c) 2017 Logic and Logical Philosophy
• Data:
  2014.04.30
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  Logic and Logical Philosophy; Vol. 23 No. 4 (2014): December; 391-401;
  Logic and Logical Philosophy; Tom 23 Nr 4 (2014): December; 391-401;
  2300-9802;
  1425-3305
• Format:
  application/pdf
• Wydawca:
  Uniwersytet Mikołaja Kopernika w Toruniu
• Relacja: https://apcz.umk.pl/LLP/article/view/LLP.2014.009/3367
• Temat i słowa kluczowe:
  Computability theory;
  Turing machines;
  axiomatization of sciences;
  artificial intelligence
• Identyfikator: https://apcz.umk.pl/LLP/article/view/LLP.2014.009
• Dostawca danych:
  Akademicka Platforma Czasopism
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