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On bioinformatics and cognitive informatics: Emerging pattern, dissipative structure, and evolving cognition

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Bioinformatics is the comprehensive applications of mathematics, science, and a core set of problem-solving methods to the understanding of living systems. It will have profound impacts on all fields of biological and medical sciences. Cognitive informatics studies cognition and information sciences that investigates the processes of the natural intelligence. As both fields continue their rapid development and progress, it is the central challenge to understand the biological basis of cognition, perception, learning, memory, thought, and mind. This paper briefly reviews the intersections and connections between these two emerging fields through a systems view of emerging pattern, dissipative structure, and evolving cognition of living systems. It is hoped that this brief review draws further exploration of our understanding of biological nature of process of mindcognition.

    Original languageAmerican English
    Title of host publicationProceedings of the 7th IEEE International Conference on Cognitive Informatics, ICCI 2008
    Pages40-49
    Number of pages10
    DOIs
    StatePublished - 2008
    Event7th IEEE International Conference on Cognitive Informatics, ICCI 2008 - Stanford University, CA, United States
    Duration: Aug 14 2008Aug 16 2008

    Publication series

    NameProceedings of the 7th IEEE International Conference on Cognitive Informatics, ICCI 2008

    Conference

    Conference7th IEEE International Conference on Cognitive Informatics, ICCI 2008
    Country/TerritoryUnited States
    CityStanford University, CA
    Period8/14/088/16/08

    ASJC Scopus Subject Areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Information Systems

    Keywords

    • Autopoiesis
    • Bioinformatics
    • Cognition
    • Cognitive informatics
    • Dissipative structure
    • Mind
    • Network biology
    • Neural networks
    • Systems biology

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