Symbiotic Information Processing and Technological Progress
The goal of the paper is the introduction and exploration of new types of information processing. Starting with the typology developed in such an important class of information processing as computation, we extend this typology by analyzing information representations used in computational processes...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3900/81/1/84 |
| _version_ | 1797483117270794240 |
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| author | Mark Burgin Rao Mikkilineni |
| author_facet | Mark Burgin Rao Mikkilineni |
| author_sort | Mark Burgin |
| collection | DOAJ |
| description | The goal of the paper is the introduction and exploration of new types of information processing. Starting with the typology developed in such an important class of information processing as computation, we extend this typology by analyzing information representations used in computational processes and delineating novel forms of information representations. While the traditional approach deals only with two dimensions of information processing—symbolic and sub-symbolic, our analysis explicated one more dimension—super-symbolic information processing. Information processing in biological systems is both symbolic and sub-symbolic, having the form of genes and neural networks. Nevertheless, in their evolution, biological systems have advanced their abilities one step further by developing super-symbolic information processing and evolving symbiotic information processing that performs information processing on the combined knowledge in the brain from both symbolic, subsymbolic, and super-symbolic information processing to derive higher order autopoietic and cognitive behaviors. Performing all forms of information processing, biological systems achieve much higher cognitive and intelligence level. That is why here we also consider a new type of computing automata called structural machines with the goal of transferring these advantageous features of biological systems to the existing information processing technology. |
| first_indexed | 2024-03-09T22:43:20Z |
| format | Article |
| id | doaj.art-33ce5c738b324b15805eaf9af098cd3b |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2024-03-09T22:43:20Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj.art-33ce5c738b324b15805eaf9af098cd3b2023-11-23T18:33:45ZengMDPI AGProceedings2504-39002022-03-018118410.3390/proceedings2022081084Symbiotic Information Processing and Technological ProgressMark Burgin0Rao Mikkilineni1Department of Computer Science, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USASchool of Business, Golden Gate University, San Francisco, CA 94105, USAThe goal of the paper is the introduction and exploration of new types of information processing. Starting with the typology developed in such an important class of information processing as computation, we extend this typology by analyzing information representations used in computational processes and delineating novel forms of information representations. While the traditional approach deals only with two dimensions of information processing—symbolic and sub-symbolic, our analysis explicated one more dimension—super-symbolic information processing. Information processing in biological systems is both symbolic and sub-symbolic, having the form of genes and neural networks. Nevertheless, in their evolution, biological systems have advanced their abilities one step further by developing super-symbolic information processing and evolving symbiotic information processing that performs information processing on the combined knowledge in the brain from both symbolic, subsymbolic, and super-symbolic information processing to derive higher order autopoietic and cognitive behaviors. Performing all forms of information processing, biological systems achieve much higher cognitive and intelligence level. That is why here we also consider a new type of computing automata called structural machines with the goal of transferring these advantageous features of biological systems to the existing information processing technology.https://www.mdpi.com/2504-3900/81/1/84informationcomputingprocesssymbolicsubsymbolicsuper-symbolic |
| spellingShingle | Mark Burgin Rao Mikkilineni Symbiotic Information Processing and Technological Progress Proceedings information computing process symbolic subsymbolic super-symbolic |
| title | Symbiotic Information Processing and Technological Progress |
| title_full | Symbiotic Information Processing and Technological Progress |
| title_fullStr | Symbiotic Information Processing and Technological Progress |
| title_full_unstemmed | Symbiotic Information Processing and Technological Progress |
| title_short | Symbiotic Information Processing and Technological Progress |
| title_sort | symbiotic information processing and technological progress |
| topic | information computing process symbolic subsymbolic super-symbolic |
| url | https://www.mdpi.com/2504-3900/81/1/84 |
| work_keys_str_mv | AT markburgin symbioticinformationprocessingandtechnologicalprogress AT raomikkilineni symbioticinformationprocessingandtechnologicalprogress |