Problems and Solutions of Artificial Intelligence Based on Big Data Technology
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DOI: 10.23977/icmmct.2019.62091
Corresponding Author
Mao Hongxia
ABSTRACT
With the development of information technology, artificial intelligence technology is also experiencing breakthroughs and transformations. In this process, big data technology emerges as the times require. Data is too large to be collected, stored, managed, processed, maintained and collated in a reasonable time through traditional tools, and become more active information serving the society. The explicit symbolic representation directly available in AI is unable to represent the real world because it is difficult to update in real time and automatically, and cannot capture a large amount of tacit knowledge. Based on the analysis of modal theory, its research still stays at the level of symbols, but does not involve truth and reference, that is, it does not involve the connection between language and the world. This assumption essentially assumes that knowledge is made up of the relationship between the symbols and symbols of the object, and that intelligence is achieved through proper manipulation of the relationships between them. Its main task is to "general problem solver" through Abstraction. The approach of big data simulation intentionality is to realize the connection and organization of external things through language mediation, and to simulate the operation and application of human language symbols, in order to realize the artificial intelligence simulation target to the greatest extent possible.
KEYWORDS
Big Data Technology, Artificial Intelligence, Difficulties