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.
No comments:
Post a Comment