THE INTERTWINED NATURE OF SIMPLICITY AND COMPLEXITY: A NEW PARADIGM FOR UNDERSTANDING COMPLEX ADAPTIVE / AUTONOMOUS / LIVING SELF-IMPROVING SMART SYSTEMS
DOI:
https://doi.org/10.34185/1991-7848.itmm.2026.01.089Keywords:
Cognitive Platform Engineering, Architecture of Thinking, Complexity Control, Sketching, Limit Generalization Paradigm - LGP, System 0/1/2/3, Living Structure, Ultra-Low-Power Intelligence, Self-improvising / Self-expanding Memory, Self-Transcendence, LGP-Principle of Superefficiency, Systems ThinkingAbstract
Research in the field of autonomous systems focuses on developing machines, robots, and systems capable of autonomous learning, perceiving their environment, and interacting with it like a living being. For autonomous systems, flexibility in the face of limited resources and radical uncertainty is critical, and system failures are unacceptable. The key research question: How is the balance between complexity and simplicity achieved in cognitive systems? Resource economy leads to criticality - a self-organizing balance between simplicity/parsimony and complexity. In terms of the evolutionary self-improvement of (natural) smart systems, the 'System 0/1/2/3' architecture has been substantiated. The limit generalizations paradigm offers a holistic approach to the complexity-simplicity trade-off.
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