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The Formal Understanding Models

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Cognitive Systems and Signal Processing (ICCSIP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1005))

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Abstract

This paper aims to introduce three types of understanding models from the perspective of human cognitive systems and machine information processing. The method steps are as follows: 1. Obtain a complete all equal formal understanding model (A) by constructing a twin Turing machine between numbers and numbers. 2. Obtain an approximately equal intelligent understanding model (B) by constructing a twin Turing machine between numbers and symbols. 3. Obtain a similar socialized understanding model (C) by constructing a twin Turing machine between numbers and characters, which is characterized by: the model A to B and then C gradually converge. As a result, it was found that the machine formal information processing and the human content information processing are opposite in convergence. It is clear that the combination of the three formalized understanding models and the bilingual model of interpretative translation is the key to formal understanding, intelligent understanding and social understanding. Based on them, ambiguity, misunderstanding and understanding are all well understood. The significance is that it proves that the three types of understanding models and the two sets of convergence modes can effectively determine the formal understanding process. Furthermore, it is clear that the ways of human and computer are combined completely which is better than pure humans or simple machines. That can be applied to cognitive systems and information processing perfectly. And its application is in the combination of human-machine-specific personalized ability training and standardized knowledge learning and management, especially based on the targeted reuse of subject knowledge centers.

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Author information

Authors and Affiliations

  1. Sino-American Searle Research Center, UC Berkeley, Berkeley, 94720-3840, USA

    Xiaohui Zou

  2. Room 415, Audio-Visual Building, Peking University, Beijing, 100871, China

    Xiaohui Zou

Authors
  1. Xiaohui Zou
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Correspondence to Xiaohui Zou .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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Zou, X. (2019). The Formal Understanding Models. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_30

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  • DOI: https://doi.org/10.1007/978-981-13-7983-3_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7982-6

  • Online ISBN: 978-981-13-7983-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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