Version 1
: Received: 23 November 2021 / Approved: 23 November 2021 / Online: 23 November 2021 (10:42:36 CET)
How to cite:
Mikkilineni, R.; Burgin, M. Autopoietic Machines with Structural Information Processing. Preprints2021, 2021110418. https://doi.org/10.20944/preprints202111.0418.v1
Mikkilineni, R.; Burgin, M. Autopoietic Machines with Structural Information Processing. Preprints 2021, 2021110418. https://doi.org/10.20944/preprints202111.0418.v1
Mikkilineni, R.; Burgin, M. Autopoietic Machines with Structural Information Processing. Preprints2021, 2021110418. https://doi.org/10.20944/preprints202111.0418.v1
APA Style
Mikkilineni, R., & Burgin, M. (2021). Autopoietic Machines with Structural Information Processing. Preprints. https://doi.org/10.20944/preprints202111.0418.v1
Chicago/Turabian Style
Mikkilineni, R. and Mark Burgin. 2021 "Autopoietic Machines with Structural Information Processing" Preprints. https://doi.org/10.20944/preprints202111.0418.v1
Abstract
The General Theory of Information (GTI) tells us that information is represented, processed and communicated using physical structures. The physical universe is made up of structures combining matter and energy. According to GTI, “Information is related to knowledge as energy is related to matter.” GTI also provides tools to deal with transformation of information and knowledge. We present here, the application of these tools for the design of digital autopoietic machines with higher efficiency, resiliency and scalability than the information processing systems based on the Turing machines. We discuss the utilization of these machines for building autopoietic and cognitive applications in a multi-cloud infrastructure.
Keywords
general theory of information; named set; knowledge structure; structural machine; autopoietic machine; multi-cloud infrastructure.
Subject
Computer Science and Mathematics, Information Systems
Copyright:
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.
