Proceedings of the Annual Meeting of the Cognitive Science Society

Artificial General Intelligence (AGI) is a term that describes a variant of a Strong AI revival in the mind sciences.Irrespective of its definition limits, and leaving aside the non-scientific metaphysical or philosophical aspirations, AGI studiesthe feasibility and implementation aspects of artificial systems that would have the capacity of domain non-specific (domain-general) human-level intelligence.The importance of self-organization in natural neural systems as well as in neuromimetic computational systems, especiallythe class of Self-Organizing Map (SOM) neural networks, has been extensively demonstrated and supported in the literature.Neurocomputational self-organization exhibits unique characteristics, including non-deterministic epigenetic (post-genetic) be-havior, which enable direct functional and structural comparisons with the neocortex more than most existing relevant compu-tational mechanisms. If the problem of artificial general intelligence is approached from a biologically relevant computationalstandpoint then SOM mechanisms are currently a very strong candidate as a core component of a computational AGI system.