Structure and Communication of Knowledge

Abstract

The knowledge domain is more encompassing than that of wealth and materials. For dealing with knowledge utility, all factors (its scarcity, its total utility, its marginal utility, its utilitarian value, its exchange value, etc.) that influence its evaluation must be considered. From a communication perspective, knowledge can be traced backward and extrapolated forward, much like scientific parameters. From a structural perspective, we propose that processing of knowledge be based on the most basic and fewest truisms. These truisms are based on reality and permit characterization of information and knowledge. To this extent, computational processing does not depend on the philosophic writings of earlier economists. However, the truisms are validated from a longer-term philosophic interpretation of how these truisms have survived so that they can be expanded and reused in computational environments. This approach permits machines to process knowledge based on content of a piece of information and to enhance content. © Springer-Verlag Berlin Heidelberg 2010.