website/_posts/research/2023-05-01-surprised_soup.md

layout, title, categories, excerpt, header

layout	title	categories	excerpt	header
single	Social NN-Soup	research audio deep-learning anomalie-detection	Social interaction based on surprise minimization	teaser assets/figures/18_surprised_soup_teaser.jpg

{:style="display:block; width:40%" .align-right} 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. {% cite zorn23surprise %}

{:style="display:block; width:90%" .align-center}