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从复杂系统的角度来看,食的时空空间组织
Javier Cristín1,2,3, Pol Fernández-López4,5, Roger Lloret-Cabot4,5
1Istituto Sistemi Complessi, Consiglio Nazionale delle Ricerche, UOS Sapienza, 00185, Rome, Italy.
Scientific reports
|June 4, 2024
概括
复杂系统科学揭示了殖民地如何适应食策略. 在可预测的环境中训练的殖民地是高效的,但不具备弹性,而在不确定的条件下训练的殖民地表现出效率较低,但适应能力更强.
科学领域:
- 复杂系统科学 复杂系统科学
- 行为生态学 行为生态学
- 计算生物学是一种计算生物学.
背景情况:
- 欧社会物种表现出复杂的新兴行为.
- 殖民地食是集体智力的模型.
- 量化殖民地的食优势至关重要.
研究的目的:
- 开发一种方法来量化集体食的功能优势.
- 利用复杂的系统科学来模拟殖民地行为的行为.
- 调查环境条件如何影响食效率和弹性.
主要方法:
- 实验场模拟现实的食尺度.
- 信息理论和数据分析的旋转玻璃方法.
- 使用机器学习原则开发计算殖民地复制品 (高维模型).
主要成果:
- 在恒定的食物条件下训练的殖民地复制品显示出更高的食效率 (更快的发现/收集),但缺乏适应新条件的弹性.
- 在波动的食物条件下训练的复制品在稳定的环境中表现出较低的效率,但对环境变化的弹性更强.
- 计算模型成功地复制了实验性食模式.
结论:
- 殖民地的食效率和弹性是受环境可预测性影响的权衡.
- 开发的方法为社会昆虫的适应策略提供了洞察力.
- 计算建模为研究集体行为和进化提供了一个强大的工具.
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