A Multi-Agent System Model to Advance Artificial General Intelligence based on Piaget’s Theory of Cognitive Development

Omar López-Ortega, Félix Agustín Castro-Espinoza, Omar Arturo Domínguez-Ramírez, Shani Ioana López-Popa


It is proposed a Multi-Agent System based on Piaget’s theory of cognitive development aimed at progressing towards Artificial General Intelligence. Basic elements of Piaget’s theory are presented. Also, the notion of will to power is extended to elucidate what tasks must be given to both, the Psychological and Epistemic subjects. By doing so it is modelled a functional organization in which positive reinforcement cycles help acquiring and organizing knowledge. These cycles are coined by us as volition towards intelligence. Next, an object-oriented model and an agent-based system are designed according to the theoretical background presented. Finally, a mathematical analysis on topology is provided to explain the apparent conundrum between the universal cognitive structures and the individual differences in cognition. Conclusions and future research are outlined.


Cognitive development, narrow artificial intelligence, general artificial intelligence, topological structures, volition to intelligence

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