1. Zorn, M., Illium, S., Phan, T., Kaiser, T.K., Linnhoff-Popien, C., and Gabor, T. 2023. Social Neural Network Soups with Surprise Minimization. MIT Press Direct.

Social Soup Schematics This research explores artificial chemistry systems with neural network particles that exhibit self-replication. Introducing interactions that enable these particles to recognize and predict each other’s behavior, the study observes emergent behaviors akin to stability patterns previously seen in explicit self-replication training. A unique catalyst particle introduces evolutionary pressure, demonstrating how ‘social’ interactions among particles can lead to complex, emergent outcomes. [Zorn et al. 2023]

Soup Trajectories