Affiliation:
1. Chongqing University of Science and Technology, School of Electrical and Information Engineering, Chongqing, China
Abstract
Big data are pervasively generated by human cognitive processes, formal inferences, and system quantifications. This paper presents the cognitive foundations of big data systems towards big data science. The key perceptual model of big data systems is the recursively typed hyperstructure (RTHS). The RTHS model reveals the inherited complexities and unprecedented difficulty in big data engineering. This finding leads to a set of mathematical and computational models for efficiently processing big data systems. The cognitive relationship between data, information, knowledge, and intelligence is formally described.
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Reference53 articles.
1. Berkeley, B. (1710), Principles of Human Knowledge, first published 1710, in A.D. Lindsay ed. (1954), London, UK.
2. On understanding types, data abstraction, and polymorphism
3. Databasing the brain
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