PROCESSING, SWITCHING AND COMMUNICATION OF KNOWLEDGE

The domain of knowledge1 is more encompassing than that of wealth and materials. For dealing with utility of knowledge, all factors (its scarcity, its total utility, its marginal utility, specifically its diminishing marginal utility, its utilitarian value, its exchange value, etc.) that influence the evaluation need to be considered. From a communication perspective, knowledge can be traced backward and extrapolated forward, much like scientific parameter(s). From a structural perspective, we propose that the processing of knowledge be based on the most basic and fewest truisms. These truisms are, in turn, based on reality and they permit the 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 scientific and computational environments. This approach permits machines to process knowledge based on the content of a particular piece of information and to enhance content, the presentation and the wealth of knowledge that the information communicates.