大脑与环境变化：因果还是结果？
Big Brains and Changing Environments: Cause or Consequence?
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中文总结 AI 辅助
本研究通过神经进化实验发现，大脑增大主要源于静态环境中的进化历史，而非直接适应变化环境，挑战了认知缓冲假说，支持拓殖解释。
中文摘要 AI 辅助
大脑的代谢成本高昂，且其与变化环境的关联并不一定意味着它们是在这些环境中进化而来的，正如认知缓冲假说（CBH）所暗示的那样。它们可能反而在稳定条件下进化，随后促进了对变化环境的拓殖。通过在人工季节性觅食任务中进行神经进化，我们将仅在变化环境中进化的智能体与先在静态环境中进化后再过渡的智能体进行了比较。结果表明，动态环境中较大的神经网络主要源于先前的静态进化，并在不可预测的变化下实现了更优的性能。我们的结果挑战了严格的CBH预测，为基于拓殖的解释提供了基于智能体（计算）的支持，并强调了进化历史在脑大小进化中的作用。
英文摘要
Large brains are metabolically costly, and associations with changing environments do not imply they evolved there, as the Cognitive Buffer Hypothesis (CBH) would suggest. They may instead evolve in stable conditions and later facilitate colonization of changing environments. Using neuro-evolution in an artificial seasonal foraging task, we compared agents evolving exclusively in changing environments to agents first evolved in static environments before transitioning. Results show that larger neural networks in dynamic environments arise mainly from prior static evolution, achieving superior performance under unpredictable changes. Our results challenge strict CBH predictions, provide agent-based (computational) support for a colonization-based account and highlight the role of evolutionary history in brain size evolution.
发表机构
- University of Cape Town（开普敦大学）
机构由 AI 辅助整理，请以论文原文为准。
