A New Approach for Artificial Intelligence: Social Networks Should Be Modeled Instead of the Brain
Prof. Dr. Magnus S. Magnusson advocates for modeling artificial intelligence through T-societies—networks of human brains and social interactions—rather than individual neurons.
Retired Professor Magnus S. Magnusson is bringing up for discussion the concept of Artificial Social Pattern Intelligence, suggesting that artificial intelligence should be designed based on the complex T-societies formed by human brains and social interactions, rather than just neural networks.
Society Networks Instead of the Brain
Modern mass societies stand out as thinking objects of immense complexity, where billions of brains are in constant interaction.
The Human Social Operating System
Human social groups evolved in a way that separates them from other species by adding massive, external information arrays that organize specialized individuals.
Artificial Social Pattern Intelligence
It is proposed that artificial intelligence models be built from real-time interactions between organisms rather than single simulated neurons or top-down rules.
Billions of Agents and Organization
Large-scale frameworks such as Light Society, developed by researchers in China, study new forms of organization through crowd agent simulations.
T-Societies and Superstitions
Running legacy information from the past on modern hardware highlights the reality that mass societies can no longer bear such structural issues.