Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs

• URL: http://arxiv.org/abs/2306.13169v1
• Date: Thu, 22 Jun 2023 19:32:53 GMT
• Title: Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs
• Authors: M Charity, Dipika Rajesh, Sam Earle, and Julian Togelius
• Abstract summary: 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. This environment was designed to explore the emergent AI behaviors found implicitly in simulation games such as Dwarf Fortress or The Sims.
• Score: 3.620115940532283
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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