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We have set out to examine the “pure” essence of intelligence as the ability of objects to learn the laws (correlations) of informative environments. An intelligent system has to be able to adopt correlations from any environment, with which it was put into interaction. Therefore, the state of an intelligent system must initially possess correlations of any complexity. This argumentation leads to unambiguous conclusion that in physical world only complex and/or critical states of nonlinear systems are intelligent.
We are currently investigating the influence of informative environment on critical states both theoretically and experimentally. Our approach is general and will lead to the unified model and deep understanding of the physical intelligence, and eventually to the design of physical intelligent systems and new paradigms in the area of Information processing. Besides tunable criticality of phase transitions (for simpler setups), we will also treat externally driven Self-Organized Critical (SOC) states of open dissipative nonlinear systems.
Our experimental implementations are being developed to study the intelligence of both tunable criticality and the SOC using multiple approaches. Our selected approaches are the four physical systems. (1) Correlated pump probe measurement of critical NiCu ferromagnetic system (with low Tc) (2) Cellular automation of SOC with ferroelectric cellular lattice (3). SOC using optical Rogue waves. (4) Controllable critical behavior of an complex atomic switch array.
Sponsored by the Defence Advanced Research Projects Agency, US
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