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Proceedings 2017, 1(3), 213; doi:10.3390/IS4SI-2017-03989

Lessons from Biology: Genes, Neurons, Neocortex and the New Computing Model for Cognitive Information Technologies

C3DNA, 7533 Kingsbury Ct, Cupertino, CA 95014, USA
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Published: 9 June 2017
Download PDF [213 KB, uploaded 26 July 2017]

Abstract

In this paper we analyze our current understanding of genes, neurons and the neocortex and draw a parallel to current implementations of cognitive computing in Silicon. We argue that current information technologies have evolved from the original stored program control architecture implementing the Turing machines which allowed us to model, configure, monitor and control any physical system using a Universal Turing Machine model. However, large scale of distributed computations and their tolerance requirement to fluctuations have created new challenges. We suggest that a new agent based computing model extension to the current Turing machine meets this challenge and provides a path to cognitive self-learning and self-managing systems.
Keywords: genes; neurons; neocortex; cognition; DIME network architecture; self-managing computations; computing models genes; neurons; neocortex; cognition; DIME network architecture; self-managing computations; computing models
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mikkilineni, R. Lessons from Biology: Genes, Neurons, Neocortex and the New Computing Model for Cognitive Information Technologies. Proceedings 2017, 1, 213.

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