A molecular quasi-random model of computations applied to evaluate collective intelligence

Abstract

This paper presents a bio-inspired model of computations, the random PROLOG processor (RPP), used for analysis of collective intelligence (CI). In the RPP, clause_molecules (CMs) of facts, rules, goals, or higher-level logical structures enclosed by membranes move quasi-randomly in structured computational_PROLOG_space (CS). When CMs rendezvous, an inference process can occur iff the logical conditions are fulfilled. CI can be evaluated as follows: (1) the mapping is done of a given social structure into the RPP; (2) the beings and their behavior are translated into PROLOG expressions, carried by CMs; (3) the goal(s) of the social structure are translated into N-element inference (NEI); (4) the efficiency of the NEI is evaluated and given as the intelligence quotient of a social structure (IQS) projected onto NEI.