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International Conference on Brain Informatics

BI 2009: Brain Informatics pp 25–35Cite as

Information Hypothesis: On Human Information Capability Study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5819))

Abstract

Main aim of this paper is to explore the human information capabilities with link to open problems in computer science. We come with working hypothesis reflecting currently known research experimental evidence of human information capabilities. As every hypothesis, presented hypothesis needs further verification to show confirmation or disconfirmation in result. Nevertheless, this work opens novel topic on scientific research with the aim to resolve presented open problems and review of classical paradigm in computer science.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Information Technology, Brno University of Technology, Božetěchova 2, Brno, 612 66, Czech Republic

    Jiří Krajíček

Authors
  1. Jiří Krajíček
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Editor information

Editors and Affiliations

  1. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371.0816, Maebashi-City, Japan

    Ning Zhong

  2. Department of Radiology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, People’s Republic of China

    Kuncheng Li

  3. The International WIC Institute, Beijing University of Technology, China

    Shengfu Lu

  4. Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyng District, 100101, Beijing, China

    Lin Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Krajíček, J. (2009). Information Hypothesis: On Human Information Capability Study. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-04954-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04953-8

  • Online ISBN: 978-3-642-04954-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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