UNIVERSAL SCIENCE OF MIND: CAN COMPLEXITY-BASED ARTIFICIAL INTELLIGENCE SAVE THE WORLD IN CRISIS?

Andrei P. Kirilyuk (1)

1 Metallic State Theory Department

While practical efforts in the field of artificial intelligence grow exponentially, the truly scientific and mathematically exact understanding of the underlying phenomena of intelligence and consciousness is still missing in the conventional science framework. The inevitably dominating empirical, trial-and-error approach has vanishing efficiency for those extremely complicated phenomena, ending up in fundamentally limited imitations of intelligent behaviour. We provide the first-principle analysis of unreduced many-body interaction process in the brain revealing its qualitatively new features, which give rise to rigorously defined chaotic, noncomputable, intelligent and conscious behaviour. Based on the obtained universal concepts of unreduced dynamic complexity, intelligence and consciousness, we derive the universal laws of intelligence applicable to any kind of intelligent system interacting with the environment. We finally show why and how these fundamentally substantiated and therefore practically efficient laws of intelligent system dynamics are indispensable for correct AI design and training, which is urgently needed in this time of critical global change towards the truly sustainable development.

Domaines: Dynamique Chaotique [nlin.CD]; Adaptation et Systèmes auto-organisés [nlin.AO]; Intelligence artificielle [cs.AI]; Milieux et Changements globaux

Andrei P. Kirilyuk. UNIVERSAL SCIENCE OF MIND: CAN COMPLEXITY-BASED ARTIFICIAL INTELLIGENCE SAVE THE WORLD IN CRISIS?. 2020. ⟨hal-02882097⟩