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Genesis:一个用于研究无适应度函数的开放式进化的实证平台

Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions

Anushka Sharma

arXiv 2607.21631首次发表:更新:

AI 中文总结

研究无适应度函数的开放式进化,通过Genesis平台实证测试,发现约束驱动选择可维持进化活动,生态位构建需受物种形成保护才有效,为无适应度进化建立边界并开辟物理元进化新方向。

AI 中文摘要

生物进化在没有任何适应度函数的情况下维持着复杂的动态,但几乎所有的进化算法都依赖于适应度函数。Genesis是一个开源平台,旨在通过实证测试一个人工系统在完全去除适应度后维持进化动态所需的条件。Genesis中的进化由物理约束、关系优势和自适应调节控制,没有标量适应度,没有设计者指定的目标。在总计超过一百万个进化世代的实验中,Genesis有以下成果:(i)表明约束驱动的选择在完全去除适应度后可以维持进化活动(7/12次运行;威尔逊95%置信区间[30.2%,82.5%];p<0.01,科恩d=1.47相对于基线);(ii)产生了一个假对照阴性结果,表明仅生态位构建不会打破复杂性高原;(iii)提供了初步证据,表明受物种形成保护的生态位构建启动了无保护分泌无法实现的结构多样化。这些发现为无适应度进化建立了实证边界,并开辟了一个新方向:物理的元进化,即控制进化系统的定律本身也在进化。

英文摘要

Biological evolution sustains complex dynamics without any fitness function, yet virtually all evolutionary algorithms depend on one. Genesis is an open-source platform designed to test, empirically, what an artificial system needs to sustain evolutionary dynamics after complete fitness removal. Evolution in Genesis is governed by physical constraints, relational dominance, and adaptive regulation - no scalar fitness, no designer-specified objectives. Across experiments totalling over one million evolutionary generations, Genesis has: (i) shown that constraint-driven selection can sustain evolutionary activity after complete fitness removal (7/12 runs; Wilson 95% CI [30.2%, 82.5%]; p<0.01, Cohen's d=1.47 vs. baselines); (ii) produced a sham-controlled negative result demonstrating that niche construction alone does not break the complexity plateau; and (iii) provided preliminary evidence that speciation-protected niche construction initiates structural diversification that unprotected secretion cannot. These findings establish empirical boundaries for fitness-free evolution and open a new direction: meta-evolution of physics, in which the laws governing an evolutionary system are themselves evolved.

CommentsAccepted as a Late-Breaking Abstract at the Genetic and Evolutionary Computation Conference Companion (GECCO Companion '26), July 13-17, 2026, San Jose, Costa Rica

DOI:10.1145/3795101.3814645

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