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TRANSDISCIPLINARY SYNTHESIS AND COGNITION FRAMEWORKS

Published: 01 January 2011 Publication History

Abstract

Many disciplines are wrought with high levels of uncertainty and many unknowns including transdisciplinary design. Hence, to achieve some advancement within a discipline, we must provide aids in achieving mitigation of complexity and increasing understanding. We achieve this by investigating beyond the boundaries of the existing discipline's design concepts. This means stretching the boundaries of knowledge by traditional observation and analysis known as hard work using "elbow-grease" or reviewing those methods and processes of other disciplines, which might have applicability to our discipline's domain. Therefore, we addresses the challenge of minimizing ambiguity and fuzziness of understanding in large volumes of complex transdisciplinary information content and explore transdisciplinary synthesis via cognition based frameworks, for improving actionable decisions. Specifically, Recombinant Knowledge Assimilation RNA & Artificial Cognitive Neural Framework ACNF which recombine and assimilate knowledge based in human cognitive processes, formulated and embedded in a neural network of genetic algorithms and stochastic decision making, towards minimizing ambiguity and maximizing clarity. Thus, we introduce trans-disciplinary concepts, for application to specific problem sets, in order to achieve qualitative solutions for the large volumes of complex interconnected data and applications, which exist today.

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    Published In

    cover image Journal of Integrated Design & Process Science
    Journal of Integrated Design & Process Science  Volume 15, Issue 1
    January 2011
    86 pages

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    IOS Press

    Netherlands

    Publication History

    Published: 01 January 2011

    Author Tags

    1. Cognition
    2. Knowledge
    3. Synthesis
    4. Transdisciplinary

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