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On Understanding and Machine Understanding

Name: On Understanding and Machine Understanding
Creator: Chern, Tong
Keywords: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2011Embargo end date: 01 Jan 2011Publisher:arXiv

Authors: Chern, Tong;

doi: 10.48550/arxiv.1103.5034

arXiv: http://arxiv.org/abs/1103.5034

On Understanding and Machine Understanding

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Abstract

In the present paper, we try to propose a self-similar network theory for the basic understanding. By extending the natural languages to a kind of so called idealy sufficient language, we can proceed a few steps to the investigation of the language searching and the language understanding of AI. Image understanding, and the familiarity of the brain to the surrounding environment are also discussed. Group effects are discussed by addressing the essense of the power of influences, and constructing the influence network of a society. We also give a discussion of inspirations.

due to some serious errors on page 2,3 and 5

Related Organizations

Institute of High Energy Physics
China (People's Republic of)
Chinese Academy of Sciences (中国科学院)
China (People's Republic of)
Chinese Academy of Sciences
China (People's Republic of)

Keywords

FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
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