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.

翻译：我们提出一个名为“无定形堡垒”的系统——这是一种抽象但具有空间性的开放式人工生命模拟环境。在该环境中，智能体以有限状态机（FSMs）形式呈现，允许在受限空间内进行多智能体交互。这些智能体通过随机生成和演化有限状态机来创建，并从预定义状态与转移规则中采样。该环境旨在探索《矮人要塞》或《模拟人生》等模拟游戏中隐含的涌现型人工智能行为。我们在此环境中应用爬山法进化搜索算法，以探究生成有限状态机中不同层次的深度与交互特性。