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Information Processing by Symmetric Inductive Turing Machines

Department of Mathematics, University of California, 520 Portola Plaza, Los Angeles, CA 90095, USA
Conference Morphological, Natural, Analog and Other Unconventional Forms of Computing for Cognition and Intelligence (MORCOM), Berkeley, CA, USA, 2–6 June 2019.
Proceedings 2020, 47(1), 28; https://doi.org/10.3390/proceedings2020047028
Published: 13 May 2020
(This article belongs to the Proceedings of IS4SI 2019 Summit)
Traditional models of computations, such as Turing machines or partial recursive functions, perform computations of functions using a definite program controlling these computations. This approach detaches data, which are processed, and the permanent program, which controls this processing. Physical computers often process not only data but also their software (programs). To reflect this peculiarity of physical computers, symmetric models of computations and automata were introduced. In this paper, we study information processing by symmetric models, which are called symmetric inductive Turing machines and reflexive inductive Turing machines.
Keywords: information; induction; computation; symmetry; computer; efficiency information; induction; computation; symmetry; computer; efficiency
MDPI and ACS Style

Burgin, M. Information Processing by Symmetric Inductive Turing Machines. Proceedings 2020, 47, 28. https://doi.org/10.3390/proceedings2020047028

AMA Style

Burgin M. Information Processing by Symmetric Inductive Turing Machines. Proceedings. 2020; 47(1):28. https://doi.org/10.3390/proceedings2020047028

Chicago/Turabian Style

Burgin, Mark. 2020. "Information Processing by Symmetric Inductive Turing Machines" Proceedings 47, no. 1: 28. https://doi.org/10.3390/proceedings2020047028

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