A human-like artificial intelligence for mathematics

Santiago Alonso-Diaz ()
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Santiago Alonso-Diaz: EGADE Business School, Tecnológico de Monterrey

Mind & Society: Cognitive Studies in Economics and Social Sciences, 2024, vol. 23, issue 1, No 4, 79-97

Abstract: Abstract This paper provides a brief overview of findings in mathematical cognition and how a human-like AI in mathematics may look like. Then, it provides six reasons in favor of a human-like AI for mathematics: (1) human cognition, with all its limits, creates mathematics; (2) human mathematics is insightful, not merely deductive steps; (3) human cognition detects structure in the real world; (4) human cognition can tackle and detect complex problems; (5) human cognition is creative; (6) human cognition considers ethical issues. The paper provides a tentative frame to the question whether human mathematical cognition is relevant for designing an artificial intelligence that works on and creates mathematics.

Keywords: Mathematical Cognition; Cognition; Reasoning; Mathematics; Artificial Intelligence (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11299-024-00304-x

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