Shawon S. M. Rahman, Ph.D1 and Syed V. Ahamed, Ph.D2
1
Associate Professor, Dept. of Computer Science and Engineering
University of Hawaii-Hilo, Hilo, Hawaii, USA
2
Professor Emeritus, City University of New York
Staten Island, New York 10134, USA
ABSTRACT
In this paper, we present a basis for treating, evaluating and measuring knowledge as an energy acquired
by knowledge centric objects in society. The energy level acquired is indicated as their knowledge potential
or KnP. Some objects get more charged in the knowledge domain and exhibit a longer and/or more intense
energy trail. The Rate of knowledge acquisition, intellectual caliber and need intensity driving to acquire
knowledge all play a role in the knowledge energy (Kenergy) thus acquired. Bounded by established principles
of measurement, units, quantification and equations for dealing with knowledge, it becomes amenable
to its own (knowledge) science with laws derived from the many disciplines and their own distinctive
principles. We fall back on equations from thermodynamics, electrical engineering, fluid mechanics and
transmission theory to quantify the flow-properties of knowledge. Though not completely precise and accurate
at this stage of development in the science of knowledge, these disciplines offer a framework for utilizing
the wealth of knowledge to stand on the shoulders of many a giant in their respective expertise. In the
computational domain, symbols denote both the tangible and intangible objects and linkages handle the
connectivity and updating reflecting an active and dynamic profile of knowledge. Hence, objects in the
physical world and their actions become symbols and their interactions become processes in the programming
domain.
KEYWORDS
Knowledge Science, Flow of Knowledge, Velocity of Knowledge, Social Sciences.
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