New Directions in Information Processing
Our understanding of genomics, neuroscience, cognitive behaviors of biological systems, and theoretical understanding of information from the general theory of information (GTI) is throwing new light on information processing structures both in nature and the digital information systems. The session...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/81/1/81 |
| _version_ | 1826994301277569024 |
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| author | Rao Mikkilineni |
| author_facet | Rao Mikkilineni |
| author_sort | Rao Mikkilineni |
| collection | DOAJ |
| description | Our understanding of genomics, neuroscience, cognitive behaviors of biological systems, and theoretical understanding of information from the general theory of information (GTI) is throwing new light on information processing structures both in nature and the digital information systems. The session on “New Directions in Information Processing” in the “Theoretical and Foundational Problems in Information Studies” conference at the 2021 IS4SI Summit was devoted to bringing different views from experts in multiple disciplines. We present here an overview of the session and highlight some of the observations discussed in various presentations. These include the nature of computation, the relationship between data, information and knowledge, nature of information processing structures in biology, classical and quantum computations, and their relationship with the Church-Turing Thesis, etc. in addition to the individual presentations of their papers, a plenary talk discussed not only how information processing structures operate in biological systems, but also pointed to a novel approach to design and build a new class of digital machines that enhance the sentience, resilience, and intelligence of current generation information technologies. |
| first_indexed | 2024-03-09T22:43:09Z |
| format | Article |
| id | doaj.art-03ebb473e71447e4b1191e48fe9f7b47 |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2025-02-18T09:17:34Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj.art-03ebb473e71447e4b1191e48fe9f7b472024-11-02T22:19:30ZengMDPI AGProceedings2504-39002022-03-018118110.3390/proceedings2022081081New Directions in Information ProcessingRao Mikkilineni0Ageno School of Business, Golden Gate University, San Francisco, CA 94105, USAOur understanding of genomics, neuroscience, cognitive behaviors of biological systems, and theoretical understanding of information from the general theory of information (GTI) is throwing new light on information processing structures both in nature and the digital information systems. The session on “New Directions in Information Processing” in the “Theoretical and Foundational Problems in Information Studies” conference at the 2021 IS4SI Summit was devoted to bringing different views from experts in multiple disciplines. We present here an overview of the session and highlight some of the observations discussed in various presentations. These include the nature of computation, the relationship between data, information and knowledge, nature of information processing structures in biology, classical and quantum computations, and their relationship with the Church-Turing Thesis, etc. in addition to the individual presentations of their papers, a plenary talk discussed not only how information processing structures operate in biological systems, but also pointed to a novel approach to design and build a new class of digital machines that enhance the sentience, resilience, and intelligence of current generation information technologies.https://www.mdpi.com/2504-3900/81/1/81informationknowledgestructuresautopoiesiscognitionTuring Machine |
| spellingShingle | Rao Mikkilineni New Directions in Information Processing Proceedings information knowledge structures autopoiesis cognition Turing Machine |
| title | New Directions in Information Processing |
| title_full | New Directions in Information Processing |
| title_fullStr | New Directions in Information Processing |
| title_full_unstemmed | New Directions in Information Processing |
| title_short | New Directions in Information Processing |
| title_sort | new directions in information processing |
| topic | information knowledge structures autopoiesis cognition Turing Machine |
| url | https://www.mdpi.com/2504-3900/81/1/81 |
| work_keys_str_mv | AT raomikkilineni newdirectionsininformationprocessing |