Title: JaxLife: An Open-Ended Agentic Simulator Show Chinese title

Title: JaxLife：一个开放式能动性模拟器

Abstract: Human intelligence emerged through the process of natural selection and evolution on Earth. We investigate what it would take to re-create this process in silico. While past work has often focused on low-level processes (such as simulating physics or chemistry), we instead take a more targeted approach, aiming to evolve agents that can accumulate open-ended culture and technologies across generations. Towards this, we present JaxLife: an artificial life simulator in which embodied agents, parameterized by deep neural networks, must learn to survive in an expressive world containing programmable systems. First, we describe the environment and show that it can facilitate meaningful Turing-complete computation. We then analyze the evolved emergent agents' behavior, such as rudimentary communication protocols, agriculture, and tool use. Finally, we investigate how complexity scales with the amount of compute used. We believe JaxLife takes a step towards studying evolved behavior in more open-ended simulations. Our code is available at https://github.com/luchris429/JaxLife Show Chinese abstract

Abstract: 人类智能通过地球上的自然选择和进化过程产生。 我们研究了如何在计算机中重新创建这一过程。 虽然过去的研究通常集中在底层过程（如模拟物理或化学），但我们采取了一种更针对性的方法，旨在进化出能够在世代间积累开放的文化和技术的代理。 为此，我们提出了JaxLife：一种人工生命模拟器，在其中由深度神经网络参数化的具身代理必须学会在一个包含可编程系统的表达性世界中生存。 首先，我们描述了环境，并展示了它能够促进有意义的图灵完备计算。 然后，我们分析了进化的新兴代理的行为，如基础通信协议、农业和工具使用。 最后，我们研究了复杂性与所用计算量之间的关系。 我们认为，JaxLife朝着在更开放的模拟中研究进化行为迈出了一步。 我们的代码可在https://github.com/luchris429/JaxLife获取。