Some measurable characteristics of intelligent computing systems

We discuss the following measurable characteristics of intelligent behavior in computing systems: (1) speed and scope of adaptability to unforeseen situations, including recognition, assessment, proposals, selection, and execution; (2) rate of effective learning of observations, behavior patterns, facts, tools, methods, etc., which requires identification, encapsulation, and recall; (3) accurate modeling and prediction of the relevant external environment, which includes the ability to make more effective abstractions, (4) speed and clarity of problem identification and formulation; (5) effective association and evaluation of disparate information; (6) identification of more important assumptions and prerequisites; and (7) the use of symbolic language, including the range and use of analogies and metaphors (this is about identification of similarities), and the invention of symbolic language, which includes creating effective notations. We make no claim that these are all the important characteristics; discovering others is the point of our research program