IoT Information Evolution in Perspective of Objective Knowledge Evolution Theory

• Published in: Applied Mechanics and Materials Vol. 462-463; no. Progress in Mechatronics and Information Technology; pp. 949 - 955
• Main Authors: Wu, Fang Ming, Ma, Chen Xin, Song, Guo Hang, Hu, Liang
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.11.2013
• Subjects: Analogies; Data processing; Evolution; Evolutionary; Internet; Knowledge; Platforms; Smart buildings; Internet of Things (IOT); Knowledge Evolution; Information Processing; Three Worlds
• ISBN: 3037859415; 9783037859414
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.462-463.949

According to general characters and proposing processes of the internet of things (IoT), this paper redefines Karl Poppers three worlds under the view of the IoT. Whats more, under this view it proposes a new information evolutionary model and imitates part of knowledge evolution process by using the testing environment hadoop cloud disposal platform. Analogy the knowledge evolutionary algorithm for the evolution of objective knowledge that exists in the IoT world, objective knowledge of the theory of evolution in the internet of things environment has some applicability. By using data processing and algorithm simulation, we could get closer to the objective truth to adapt to a higher degree of knowledge. This is the knowledge for smart home knowledge base provides a certain basis on a certain reference value. According the new window in looking into the IoTs information, it can provide new ideas in processing information.