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Keywords = triadic automata

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4 pages, 195 KB  
Proceeding Paper
New Directions in Information Processing
by Rao Mikkilineni
Proceedings 2022, 81(1), 81; https://doi.org/10.3390/proceedings2022081081 - 25 Mar 2022
Viewed by 2204
Abstract
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 [...] Read more.
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. Full article
6 pages, 682 KB  
Proceeding Paper
The Science of Information Processing Structures and the Design of a New Class of Distributed Computing Structures
by Rao Mikkilineni
Proceedings 2022, 81(1), 53; https://doi.org/10.3390/proceedings2022081053 - 16 Mar 2022
Cited by 3 | Viewed by 3129
Abstract
Classical computer science (CCS) based on the universal Turing machine has given us tools to decipher the mysteries of physical, chemical, and biological systems in nature. Symbolic computing and sub-symbolic computing have allowed us to model and analyze various observations (including both mental [...] Read more.
Classical computer science (CCS) based on the universal Turing machine has given us tools to decipher the mysteries of physical, chemical, and biological systems in nature. Symbolic computing and sub-symbolic computing have allowed us to model and analyze various observations (including both mental and physical processes) and optimize our interactions with each other and with our environment. In this paper, we present the limitations of CCS to model the autopoietic and cognitive behaviors of living organisms. We discuss the new science of information processing structures (SIPS), which allows us not only to model but also implement digital automata with these behaviors. Full article
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19 pages, 259 KB  
Article
Triadic Automata and Machines as Information Transformers
by Mark Burgin
Information 2020, 11(2), 102; https://doi.org/10.3390/info11020102 - 13 Feb 2020
Cited by 12 | Viewed by 4472
Abstract
Algorithms and abstract automata (abstract machines) are used to describe, model, explore and improve computers, cell phones, computer networks, such as the Internet, and processes in them. Traditional models of information processing systems—abstract automata—are aimed at performing transformations of data. These transformations are [...] Read more.
Algorithms and abstract automata (abstract machines) are used to describe, model, explore and improve computers, cell phones, computer networks, such as the Internet, and processes in them. Traditional models of information processing systems—abstract automata—are aimed at performing transformations of data. These transformations are performed by their hardware (abstract devices) and controlled by their software (programs)—both of which stay unchanged during the whole computational process. However, in physical computers, their software is also changing by special tools such as interpreters, compilers, optimizers and translators. In addition, people change the hardware of their computers by extending the external memory. Moreover, the hardware of computer networks is incessantly altering—new computers and other devices are added while other computers and other devices are disconnected. To better represent these peculiarities of computers and computer networks, we introduce and study a more complete model of computations, which is called a triadic automaton or machine. In contrast to traditional models of computations, triadic automata (machine) perform computational processes transforming not only data but also hardware and programs, which control data transformation. In addition, we further develop taxonomy of classes of automata and machines as well as of individual automata and machines according to information they produce. Full article
(This article belongs to the Special Issue 10th Anniversary of Information—Emerging Research Challenges)
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