Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Mark Burgin’s Legacy: The General Theory of Information, The Digital Genome, and the Future of Machine Intelligence

Version 1 : Received: 31 October 2023 / Approved: 1 November 2023 / Online: 1 November 2023 (10:08:14 CET)

A peer-reviewed article of this Preprint also exists.

Mikkilineni, R. Mark Burgin’s Legacy: The General Theory of Information, the Digital Genome, and the Future of Machine Intelligence. Philosophies 2023, 8, 107, doi:10.3390/philosophies8060107. Mikkilineni, R. Mark Burgin’s Legacy: The General Theory of Information, the Digital Genome, and the Future of Machine Intelligence. Philosophies 2023, 8, 107, doi:10.3390/philosophies8060107.

Abstract

With 500+ papers and 20+ books spanning many scientific disciplines, Mark Burgin has left an indelible mark and legacy for future explorers of human thought and information technology professionals. In this paper, I discuss his contribution to the evolution of machine intelligence using his general theory of information (GTI) based on my discussions with him and various papers I co-authored during the past eight years. His construction of a new class of digital automata to overcome the barrier posed by the Church-Turing Thesis, and his contribution to Super-Symbolic Computing with Knowledge Structures, Cognizing Oracles, and Structural Machines are leading to practical applications changing the future landscape of information systems. GTI provides a model for the operational knowledge of biological systems to build, operate, and manage life processes using 30+ trillion cells capable of replication and metabolism. The schema, and associated operations derived from GTI are also used to model a digital genome specifying the operational knowledge of algorithms executing the software life processes with specific purposes using replication and metabolism. The result is a digital software system with a super-symbolic computing structure exhibiting autopoietic and cognitive behaviors that biological systems also exhibit. We discuss here one of these applications.

Keywords

digital genome; general theory of information; structural machines; machine intelligence; knowledge structures; cognizing oracles; super-symbolic computing

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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