Abstract
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like a human. AW may be defined as the process of indwelling existing wisdom that is formed from conceiving knowledge. Knowledge is formed on crashing structured information. Indwelling is the process of generating links among different knowledge modules. Links will have strengths that will define the efficiency of the AW. Strengths will depend on the metafunction equivalents of the background of knowledge that are analyzing, synthesizing and imagining, and valuing. These metafunction equivalents are to be set against key temperament characteristics of AW that are ‘allergy to ambiguity’, ‘conformity’, ‘rigidity’, ‘starved sensibilities’ etc.
Keywords
Artificial Wisdom, Conceived Knowledge, Crashed Information, Created Data, Collected Wisdom, Intelligence Improvement Loop, Social Learning Cycle, Wisdom vs. Knowledge, Direct Non-Binary Data Processor in Hardware.