Technical excerpt on cognitive architecture synergies – no actionable political or financial leads

8.4 Some Critical Synergies 149 For instance, deduction might defer to the “attentional knowledge” subsystem, and make a judgment as to which of the many possible next deductive steps are most associated with the goal of inference and the inference steps taken so far, according to the HebbianLinks con- structed by the attention allocation subsystem, based on observed associations. Or, if this fails, deduction might ask MOSES (running in supervised categorization mode) to learn predicates characterizing some of the terms involving the possible next inference steps. Once MOSES pro- vides these new predicates, deduction can then attempt to incorporate these into its inference process, hopefully (though not necessarily) arriving at a higher-confidence next step. 8.4 Some Critical Synergies Referring back to Figure ??, and summarizing many of the ideas in the previous section, Table ?? enumerates a number of specific ways in which the cognitive processes mentioned in the Figure may synergize with one another, potentially achieving dramatically greater efficiency than would be possible on their own. Of course, realizing these synergies on the practical algorithmic level requires significant inventiveness and may be approached in many different ways. The specifics of how CogPrime manifests these synergies are discussed in many following chapters. ver —= Secncrimator | pattern recognition Ww ; = 5 as | Cron tn ful a Linceriain inferewd « ci ope Supearciaed procedure inarning cmndidats procedures Misntan allacalian erating AUK. bs fined allenthoral atari iveniving theme nokew ea airs ee eg we aaledd Fig. 8.3: This table, and the following ones, show some of the synergies between the primary cognitive processes explicitly used in CogPrime. HOUSE_OVERSIGHT_013065