Adaptation to criticality through organizational invariance in embodied agents.

ABSTRACT: Many biological and cognitive systems do not operate deep within one or other regime of activity. Instead, they are poised at critical points located at phase transitions in their parameter space. The pervasiveness of criticality suggests that there may be general principles inducing this behaviour, yet there is no well-founded theory for understanding how criticality is generated at a wide span of levels and contexts. In order to explore how criticality might emerge from general adaptive mechanisms, we propose a simple learning rule that maintains an internal organizational structure from a specific family of systems at criticality. We implement the mechanism in artificial embodied agents controlled by a neural network maintaining a correlation structure randomly sampled from an Ising mod

SUBMITTER: Aguilera M 

PROVIDER: S-EPMC5956029 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature