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Abstract

Knowledge is a dynamic thing. It is not static. It is constantly changing, challenged and tested against new and different ideas, applied and judged in different contexts and recast by people. The life cycle of knowledge is dynamic and chaotic. It reflects the human thought process. It is different from the information cycle which is linear and predictable. A critical step in the knowledge life cycle is “knowledge validation/invalidation.” Too often, this step takes the form of a check against an existing stock of information. The result is what we might call – knowledge sub optimization. What does it take to do a deep validation/invalidation of knowledge?

Item Type:	Article
Divisions:	Faculty of Design
Date Deposited:	18 Jul 2016 20:08
Last Modified:	02 Aug 2021 08:42
URI:	https://openresearch.ocadu.ca/id/eprint/1072

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