Literature DB >> 26802674

Artificial intelligence and synthetic biology: A tri-temporal contribution.

Francesco Bianchini1.   

Abstract

Artificial intelligence can make numerous contributions to synthetic biology. I would like to suggest three that are related to the past, present and future of artificial intelligence. From the past, works in biology and artificial systems by Turing and von Neumann prove highly interesting to explore within the new framework of synthetic biology, especially with regard to the notions of self-modification and self-replication and their links to emergence and the bottom-up approach. The current epistemological inquiry into emergence and research on swarm intelligence, superorganisms and biologically inspired cognitive architecture may lead to new achievements on the possibilities of synthetic biology in explaining cognitive processes. Finally, the present-day discussion on the future of artificial intelligence and the rise of superintelligence may point to some research trends for the future of synthetic biology and help to better define the boundary of notions such as "life", "cognition", "artificial" and "natural", as well as their interconnections in theoretical synthetic biology.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Cognitive systems; Emergence; Superintelligence; Superorganism; Synthetic biology

Mesh:

Year:  2016        PMID: 26802674     DOI: 10.1016/j.biosystems.2016.01.001

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  1 in total

1.  An Account of Models of Molecular Circuits for Associative Learning with Reinforcement Effect and Forced Dissociation.

Authors:  Zonglun Li; Alya Fattah; Peter Timashev; Alexey Zaikin
Journal:  Sensors (Basel)       Date:  2022-08-07       Impact factor: 3.847

  1 in total

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