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智能集体运动在一群具有记忆力的代理人中出现
Danny Raj Masila1, Rupesh Mahore1
1Lab 10, Department of Chemical Engineering, IISc Bangalore, Bangalore 560012, Karnataka, India.
Chaos (Woodbury, N.Y.)
|September 20, 2023
概括
代理记忆影响集体行为. 短期记忆会导致堵塞,而长期记忆会促进有效的车道形成和更顺的集体运动.
科学领域:
- 复杂的系统复杂的系统.
- 基于代理的建模模型
- 集体行为 集体行为
背景情况:
- 个人代理情报并不总是保证智能集体结果,正如在交通拥堵中所见.
- 了解个体代理记忆和群体动态之间的联系对于优化集体表现至关重要.
研究的目的:
- 调查代理记忆如何影响在一个有对立代理运动目标的系统中的集体结果.
- 确定代理互动导致可取或智能集体行为的条件.
主要方法:
- 模拟了一个具有过去运动成功记忆的最小智能代理集体.
- 改变了代理记忆的时间尺度 (短期与长期).
- 分析了新出现的集体行为,如堵车和车道形成.
主要成果:
- 短期记忆导致对称的干扰和更慢的解干扰动态.
- 长期记忆引入了运动异质性,使代理商更容易解锁.
- 长期记忆促进了有组织的车道的形成.
结论:
- 代理记忆是塑造集体动态和结果的关键因素.
- 记忆的时间尺度显著影响了从不必要的干扰到智能集体组织的过渡.
- 在代理人中利用长期记忆可以促进更有效和更适应的集体行为.
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