Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

On the Role of Information Transfer’s Speed in Technological and Biological Computations

Version 1 : Received: 15 March 2021 / Approved: 16 March 2021 / Online: 16 March 2021 (11:33:04 CET)

How to cite: Végh, J.; Berki, Á. On the Role of Information Transfer’s Speed in Technological and Biological Computations. Preprints 2021, 2021030414. https://doi.org/10.20944/preprints202103.0414.v1 Végh, J.; Berki, Á. On the Role of Information Transfer’s Speed in Technological and Biological Computations. Preprints 2021, 2021030414. https://doi.org/10.20944/preprints202103.0414.v1

Abstract

Information is commonly considered as a mathematical quantity that forms the basis of computing. In mathematics, information can propagate instantly, so its transfer speed is not the subject of information science. In all kinds of implementations of computing, whether technological or biological, some material carrier for the information exists, so the information’s propagation speed cannot exceed the speed of the carrier. Because of this limitation, for any implementation, one must consider the transfer time between computing units. We need a different mathematical method to take this limitation into account: classic mathematics can only describe infinitely fast and infinitely small computing system implementations. The difference between the mathematical handling methods leads to different descriptions of the behavior of the systems. The correct handling also explains why biological implementations can have lifelong learning and technological ones cannot. The conclusion about learning evidences matches others’ experimental evidence, both in technological and biological computing.

Keywords

computing paradigm; technological computing; biological computing; information transfer speed; information storage; lifelong learning; redundancy; temporal behavior; machine learning; artificial intelligence

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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