在计算和化学中自我组织:回到AlChemy
Cole Mathis1,2, Devansh Patel1,3, Westley Weimer4
1Biodesign Institute, Arizona State University, Tempe, Arizona 85281, USA.
Chaos (Woodbury, N.Y.)
|September 30, 2024
概括
复杂的自适应系统从简单的规则中产生. 使用兰巴微积分的AlChemy模型显示,稳定的组织经常形成,但难以结合,为生命的起源和编程语言提供了洞察力.
科学领域:
- 复杂的自适应系统.
- 理论计算机科学理论计算机科学
- 生命起源研究研究生命的起源.
背景情况:
- 从简单的组件中形成复杂的系统是科学中的一个基本问题.
- 沃尔特·方塔纳和利奥·巴斯在1990年代的AlChemy模型中,基于lambda微积分,利用计算规则探索了这一点.
- 三十年来,AlChemy模型一直没有得到充分研究.
研究的目的:
- 重新检查并复制原始AlChemy模型的结果.
- 用现代计算资源分析系统的稳定性和新兴特性.
- 调查随机生成器对系统结果的影响,并探索潜在的扩展.
主要方法:
- 使用兰巴微积分作为正式的计算模型.
- 使用了广泛的计算来复制和测试AlChemy模型.
- 分析了新兴组织的动态及其稳定性.
- 描述随机表达式生成器及其对系统行为的影响.
- 开发了一个用于使用打字的lambda微积分扩展模型的建设性证明.
主要成果:
- 复杂,动态稳定的组织比预期的更频繁地出现.
- 新兴组织在抵御崩时表现出强性,但在组合成更高阶结构时表现出脆弱性.
- 随机发生器显著影响初始条件和结果.
- 打字的lambda微积分扩展可以模拟化学反应网络中的过渡.
结论:
- 阿尔凯米模型展示了新兴系统中动态强度和脆弱性的令人惊的组合.
- 这些发现提供了计算模型和生化反应网络之间的定量联系.
- 潜在的应用包括编程语言的自我组织和生命起源的定量研究.
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