Deep learning and deep thinking: New application framework by CICT

Cognitive Intelligence

“…Cognitive ambiguity emphasizes this major IDB problem in most advanced research laboratory and instrumentation system, just at the inner core of human knowledge extraction by experimentation in current science (Fiorini, 2014). At IEEE ICCI*CC'16 we presented a paper showing sound examples of the IDB problem in science (Fiorini, 2016). We showed that in any random process the presence of deterministic computational structures can never be ruled out, even in Gaussian noise.…”

Towards Advanced Quantum Cognitive Computation

“…Therefore, the mathematical method, we are describing, can possess anticipatory computational properties, at design level, needed to the realization of system even capable to interact with its environment in real time (leading property) (Rosen, 1985). We give an operative system example in our second paper presented at this conference Fiorini, 2016b). Here, we like to discuss the fundamental anticipation property to develop competitive cognitive computation applications.…”

“…To address our first modeling limitation issue, we need to become aware that human beings and most current advanced measurement systems have quite a limited capacity to extract reliable information from complex system analysis (Fiorini, 2016b). Complex system is characterized by AMS (arbitrary multi-scale) system representation usually.…”

“…Both issues are addressed and solutions proposed to, in the paper of Fiorini (2016b). In fact, even the most sophisticated, advanced research laboratory or instrumentation system is completely unable to reliably discriminate so called "random noise" (RN) from any combinatorically optimized encoded message, called deterministic noise" (DN) in Fiorini (2014a), by statistical signal processing tools only.…”