11. A method for rendering a decision by use of a series of correlations, the method comprising: receiving on a digital electronic computer, a request to issue rules, the request including information in a semantic format; providing at least one proposed rule for insertion into a set of rules; determining a semantic relationship between the proposed rule and other rules in the set of rules; determining a placement of the proposed rules in the set of rules in accordance with the semantic relationship and, in the case of two rules having a relatively close semantic relationship, the rule having the most specific creative transform of the two rules having a relatively close semantic relationship receives a hierarchical placement at a head and the rule having the least specific creative transform of the two rules having a relatively close semantic relationship receives a hierarchical placement at a tail; in the case of the set of rules reaching a predetermined overflow limit, removing rules from the hierarchy according to predetermined criteria; responding to the request to issue rules by applying the rules in the hierarchy in accordance with semantics in the information in the request to find and apply a most specific creative transformation to a rule context; responding to the request to issue rules by applying the rules in the hierarchy in accordance with semantics in the information in the request to find and apply a most specific optimization to a rule consequent; determining if the application of the rules resulted in a transformation; and displaying an output of one of the rule or the result of the application of the rule.
11. A method for rendering a decision by use of a series of correlations, the method comprising: receiving on a digital electronic computer, a request to issue rules, the request including information in a semantic format; providing at least one proposed rule for insertion into a set of rules; determining a semantic relationship between the proposed rule and other rules in the set of rules; determining a placement of the proposed rules in the set of rules in accordance with the semantic relationship and, in the case of two rules having a relatively close semantic relationship, the rule having the most specific creative transform of the two rules having a relatively close semantic relationship receives a hierarchical placement at a head and the rule having the least specific creative transform of the two rules having a relatively close semantic relationship receives a hierarchical placement at a tail; in the case of the set of rules reaching a predetermined overflow limit, removing rules from the hierarchy according to predetermined criteria; responding to the request to issue rules by applying the rules in the hierarchy in accordance with semantics in the information in the request to find and apply a most specific creative transformation to a rule context; responding to the request to issue rules by applying the rules in the hierarchy in accordance with semantics in the information in the request to find and apply a most specific optimization to a rule consequent; determining if the application of the rules resulted in a transformation; and displaying an output of one of the rule or the result of the application of the rule. 14. The method of claim 11 , further comprising: using networked processor clusters to process coherent or domain-specific knowledge in the respective clusters, thereby concentrating related knowledge in ones of the clusters to allow the individual clusters to share a maximal number of common antecedents and consequents.