Traps for Artificial Intelligence

#6. Forecasts and Results
Traps for Artificial Intelligence

The course of artificial intelligence development in the XXI century in the context of formation of new technological modes and post-nonclassical management paradigm can be forecasted based on analysis of its many-sided and thorny historical retrospective. This way, of course, is not assured from unexpected traps. However, they can be avoided by finding new solutions in unfamiliar spaces for modeling, based on other approaches to solving complex problems and semantic interpretation of data by synthesizing for these innovations still unknown materials for computer memory and processors.

Complexity Observer as a Model of Artificial Intelligence

#2. Mr Wanna-know-All's Questions
Complexity Observer as a Model of Artificial Intelligence

The possibility of artificial intelligence was originally associated (von Neumann) with the problem of overcoming some hypothetical complexity threshold. Currently, the formation of a modern complexity paradigm in the context of philosophical ideas of E. Morin , G. Deleuze and F. Guattari , second-order cybernetics of Heinz von Foerster, autopoiesis of F. Varela and F. Maturana, cibersemiotics and recursive logic of “laws of form” by J. Spencer Brown causes the necessity of constructive introducing the concept of complexity observer as a self-organizing ensemble of cognitive agents; the artificial intelligence and artificial consciousness will probably become an emergent product of their interaction.