Knowledge science
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Knowledge science, as defined by Richard L. Ballard, Ph.D., states that knowledge is quantitative and measurable, based upon its capacity to resolve the uncertainty inherent in questions (General, Quantitive Theory of Knowledge) [1]. That knowledge occurs when theory and information are applied together to resolve uncertainty ( Knowledge = Theory + Information), that knowledge is predictive since theory is a priori, possessing inherent "lessons learned" (Physical Theory of Knowledge and Computation) [2], that knowledge can be faithfully captured as a semantic representation and used by software-based machines to reason rationally through, and answer, "how", "why" and "what if" questions. This knowledge acquisition process occurs through a methodology called Knowledge engineering.
[edit] Additional references
- "Ultimate Innovations" (2006), "Physical theory of Knowledge and Computation" Delphi Information Intelligence Summit presentation, Phoenix, AZ [3]
