My artificial intelligence Asa H incorporates vagueness in a number of ways. Clustering averages multiple spatial temporal observations to form a given concept. None of the individual observations are an exact match to the concept. Some similarity measure (or possibly several different similarity measures) compares an observed spatial temporal pattern with a known concept. Generalizations across the hierarchical memory organization are abstractions (vague). Time and spatial dilations constitute yet another source of vagueness. This all has implications for the philosophy of vagueness.