群体的自发出现,以及在动态网络中标志着多样性的出现
Zachary Fulker1, Patrick Forber2, Rory Smead3
1Network Science Institute, Northeastern University, Boston, Massachusetts 02115, USA.
Physical review. E
|February 17, 2024
概括
动态网络中的代理商开发出不同的信号组和互补的策略. 这种混合信号促进了多样性和高效的信息处理,减轻了通信效率低下.
科学领域:
- 进化游戏理论的演化游戏理论.
- 网络科学 网络科学
- 基于代理人的建模.
背景情况:
- 了解社会结构和沟通如何发展至关重要.
- 以前的模型通常假定静态网络或同质群体.
研究的目的:
- 研究网络结构和信号行为的共同进化.
- 检查信号组在动态网络中的出现.
- 分析混合信号组对信息传播的影响.
主要方法:
- 一个动态网络的基于代理的建模.
- 使用学习代理进行发送-接收游戏的模拟.
- 分析群组形成和信息处理指标.
主要成果:
- 动态网络中的信号相互作用导致内生形成不同的信号组.
- 混合信号组的出现,具有互补的策略,促进稳定的多样性.
- 混合群体表现出较快的初始信息扩散,但与单体群体相比,总体影响力较慢.
结论:
- 动态网络促进了复杂的信号系统和多样化的群体的演变.
- 混合信号策略是一个强大的结果,提高了人口层面的通信效率.
- 研究结果提供了对社会系统中合作和沟通的演变的见解.
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