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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ22266

Multi Agent Machinery in Construction of Cognitive Systems

Yeghisabet Alaverdyan

Abstract

Construction of cognitive systems equipped with self-organized and collaborative computing agents is presented. The methodology for building agents specifies how deductive entities can be decomposed into a set of distinct modules and how these modules should be made to interact in order to achieve information accumulation, deduction and exchange. Models for agent machinery and the system abstract architecture are given by relevant mathematical structures, meanwhile, deductive logic is constructed on strict logical arguments reinforced with the specified rules of inferences. Deductive reasoning agents are implemented based on ideas of symbolic representation of the underlying intelligence, where the classified entities are specified using formulae of first-order predicate logic. Integration of discrete information is achieved through formation and dynamic changes of attitudes and mainly specifies the assimilation of information with existing cognitions or thoughts, each relevant piece of information having two qualities: value and weight. Cellular automata predefined by a 4-tuple over a finite lattice, finite set of cell values, finite neighborhood, and local transition function underlies the cognitive system and activation network based on weights.

Keywords

cellular automaton, computing agent, self-organization, predicate logic

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