From Classical Computer Science to the Science of Information Processing Structures
Sentience, Resilience and Intelligence
Autopoietic Machine: is a technical system capable of regenerating, reproducing and maintaining itself by production, transformation and destruction of its components and the networks of processes downstream contained in them.
While the statement captures the sentiment of many observers of the evolution of AI, much has changed however, to be more optimistic about this statement made by Jack Copeland, the author of books on the computing pioneer Alan Turing and who is responsible for identifying the concept of hypercomputation and machines more capable than Turing machines.
We have new insights into our understanding of information, its carriers, its processing, its communication, and its use in both living systems and in digital automata. We now understand how biological systems enable sentience (the ability to sense and respond), resilience (the capacity to recover quickly from non-deterministic difficulties arising from within or from outside without requiring a reboot) and intelligence (the ability to acquire and apply knowledge and skills). Our understanding stems from the lessons learned from different disciplines:
The genome and the execution of the processes of living, neuroscience and the studies of cognitive behaviors,
Digital automata with symbolic computing along with neural networks, which give us ways to unravel various mysteries about how our physical world works and to model, monitor and manage it, and
The new mathematics of named sets, knowledge structures, cognizing agents and structural machines which allow us to not only explain how information processing structures play a key role in the physical world but also to design and implement systems which advance our current state of information technologies by transcending the limitations of classical computer science as we practice it today.
We now can model the information processing structures using the new mathematics and define their schema describing the autopoietic patterns contributing to sentience, resilience and intelligence. We argue that these patterns also allow us to design and implement a new class of digital autopoietic automata exhibiting sentience, resilience and intelligence at scale.
The purpose of this website is to share the knowledge about the theory and practice of autopoietic machines, without exaggerated claims.