We introduce a system called Amorphous Fortress -- an abstract, yet spatial, open-ended artificial life simulation. In this environment, the agents are represented as finite-state machines (FSMs) which allow for multi-agent interaction within a constrained space. These agents are created by randomly generating and evolving the FSMs; sampling from pre-defined states and transitions. This environment was designed to explore the emergent AI behaviors found implicitly in simulation games such as Dwarf Fortress or The Sims. We apply the hill-climber evolutionary search algorithm to this environment to explore the various levels of depth and interaction from the generated FSMs.
@article{arxiv.2306.13169,
title = {Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs},
author = {M Charity and Dipika Rajesh and Sam Earle and Julian Togelius},
journal= {arXiv preprint arXiv:2306.13169},
year = {2023}
}
Comments
9 pages; Accepted to the 1st ALIFE for and from video games Workshop 2023