Discovering Sensorimotor Agency in Cellular Automata using Diversity Search

arXiv:2402.10236v1 Announce Type: cross
Abstract: The research field of Artificial Life studies how life-like phenomena such as autopoiesis, agency, or self-regulation can self-organize in computer simulations. In cellular automata (CA), a key open-question has been whether it it is possible to find environment rules that self-organize robust "individuals" from an initial state with no prior existence of things like "bodies", "brain", "perception" or "action". In this paper, we leverage recent advances in machine learning, combining algorithms for diversity search, curriculum …

abstract agency artificial arxiv cellular computer cs.ai cs.lg cs.ma diversity environment key life organize question regulation research robust rules search self-regulation simulations studies type