The Science of Information Processing Structures and the Design of a New Class of Distributed Computing Structures

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 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.

Keywords

• information
• knowledge
• structures
• autopoiesis
• cognition
• Turing machine