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Updated: Sep 13, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
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在集体搜索中最佳的代理人数和何时启动它们
Hugues Meyer1,2, Heiko Rieger2
1University of Nottingham, School of Physics and Astronomy, Nottingham NG7 2RD, United Kingdom.
Physical review. E
|August 1, 2025
概括
优化多代理搜索包括平衡搜索时间和代理成本. 这项研究确定了多个代理的最佳发射时间,以尽量减少整体搜索费用和时间.
科学领域:
- 复杂的系统复杂的系统.
- 优化理论 优化理论
- 概率与统计学 概率与统计学
背景情况:
- 多代理搜索场景在各个领域都很常见.
- 增加代理人数量减少了搜索时间,但增加了成本.
- 最佳的代理部署时间对于效率至关重要.
研究的目的:
- 为了确定多个搜索代理的最佳发射时间.
- 尽量减少搜索时间和与代理相关的成本之间的权衡.
- 分析优化搜索成本量和平均值的策略.
主要方法:
- 开发了独立代理人在任意时间发射的一般形式主义.
- 采用分析计算和数值优化技术.
- 将最佳发射策略与随机重置方法进行比较.
主要成果:
- 确定了最佳的发射策略,以平衡搜索时间和成本.
- 量化了分阶段的代理发射与同时发射的好处.
- 确定了有利于新代理部署的条件,而不是重置现有的条件.
结论:
- 最佳的代理启动时间显著影响搜索效率和成本效益.
- 分散发射可能比同步发射更有利.
- 该研究为优化集体搜索过程中的资源配置提供了一个框架.
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