The Cognitive Presupposition,Characteristics And Significance Of Big Data Thinking

Cognitive philosophy as an important direction of contemporary philosophy study of contemporary cognitive science development for people is a kind of philosophical reflection,and cognitive science spirit philosophy of concise inner thoughts.As a kind of new computing and big data statistical analysis technology,is a product of the continuous development of computer Internet technology,is a contemporary major areas including science research methodology of core tools,it is closely related with the development of cognitive science,and it makes big data and cognitive philosophy naturally has a deep inner link,it inherently contains some cognitive ideas.Therefore,it is a feasible research path to put big data into the framework of cognitive philosophy.First of all,big data analysis is not only a new method of data analysis,but also a major change in the history of cognitive thinking.Cognitive presuppositions of big data analysis is in the heart of functionalism based on ontology,epistemology of the knowledge representation of the preset and big data and the methodology of connectionism preset in which also occupies the important position;As a new kind of science and technology,the big data has the cognitive methods and paths of global and dynamic,fuzziness and relevance,and cognitive integration.Second,in the cognitive process of big data also show the obvious mutual fusion of rationality and irrationality,the main objective of the ideological characteristics,and on the basis of scientific theory for large data these cognitive ideas characteristics for further grasp and insight,not only conducive to deepening people's understanding of big data analysis method,at the same time also helps in contemporary scientific system theory on the basis of abundant big data the basic connotation of cognitive philosophy.Finally,along with the increasing innovation of research method,the technology of artificial intelligence and science research is undergoing a transformation and breakthrough,and on the level of human intelligence simulation "close".In this process,large data analysis as a kind oftechnology,science,but also from a philosophical thinking methodology level,for the problem of artificial intelligence to crack provides a unique approach: digital information cognitive thinking for context location problem of artificial intelligence and natural language understanding problems provides the back by reverse flexible solution approach;The hierarchical and evolutionary simulation paradigm of big data makes up for the defects of traditional artificial intelligence paradigm,and constructs the theoretical presupposition with the characteristics of self-learning habit and distribution.To solve the bottleneck problem of the artificial intelligence of intentionality,big data thinking also puts forward the simulation research approach of the innovative data hierarchical nested type.Big data,therefore,is thinking of philosophy research not only helps to advance the cognition of artificial intelligence problem to crack,but also to the practice development of artificial intelligence have the effect of stimulating and supportive.