AI research and development in the network age

Abstract

Pattern recognition,knowledge engineering,and robotics have made significant progress in the 50-year history of artificial intelligence,yet AI displays far from human intelligence.In the current network era,if researchers in artificial intelligence want to maximize developments and innovations in interdisciplinary studies,they must pay more attention to the intersections and infiltrations of cognitive science,brain science,physics,network science,computer science,and artificial intelligence.Research in cognitive physics will be an especially important direction in AI.Natural language is an important objective in AI research;we need to establish an uncertainty transformation model that can quantitatively represent its concepts.This dictates that an AI science with uncertainty will be developed.Considering the small world model and scale-free features of complex networks in real life,we need to use network topology as a new way for knowledge representation.This will aid study of the progress of network topology,network dynamics and intelligence.This paper discusses these three directions in detail.Some concrete suggestions for further research are also provided.