Information transmission in collectively moving agents.

集体移动主体中的信息传输。

• 批准号: 2123342
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2123342
• 关键词: Information; transmission; collectively; moving; agents.

Information may be any internal degree of freedom, such asdisease status, knowledge, etc.. In fact the collectively movingagents can be foraging territorial animals or surveying robotssearching for some targets. Encounter and coverage statistics are essential to understandwhen information is optimal (robots) or when it should beminimized (disease spread) What is the role of movement statistics, e.g. drift or correlatedrandom walker, of the individuals on the efficiency ofinformation transfer? And what happens if the space that agentsshare is not the same, eg. territorial robots and animals withpartially overlapping territories? We will use the new analytic results on random walk propagatorsconfined in finite domains to tackle the pairwise interactionscenarios. And from those results it will be possible tointerpret the outcome of the collective movement models, eitheranimals or robots.

信息可以是任何内部自由度，如疾病状态、知识等。事实上，集体移动的智能体可以是觅食的领土动物或调查机器人寻找一些目标。相遇和覆盖统计对于理解什么时候信息是最优的（机器人）或者什么时候应该最小化（疾病传播）是必不可少的。个体的运动统计，例如漂移或相关随机步行者，对信息传递效率的作用是什么？如果代理人共享的空间不一样，会发生什么？领土机器人和领土部分重叠的动物？我们将使用新的分析结果在有限域中的随机游走propagatorsconfined处理成对interactionscenarios。从这些结果中可以解释集体运动模型的结果，无论是动物还是机器人。

项目成果

Exact spatiotemporal dynamics of lattice random walks in hexagonal and honeycomb domains

六边形和蜂窝域中晶格随机游走的精确时空动力学

• DOI: 10.1103/physreve.107.054139
• 发表时间: 2023
• 期刊: Physical Review E
• 影响因子: 2.4
• 作者: Marris D

Closed-form solutions to the dynamics of confined biased lattice random walks in arbitrary dimensions.

任意维度中受限偏置晶格随机游走动力学的闭式解。

• DOI: 10.1103/physreve.102.062124
• 发表时间: 2020
• 期刊: Physical review. E
• 作者: Sarvaharman S

Spatio-temporal dynamics of random transmission events: from information sharing to epidemic spread

• DOI: 10.1088/1751-8121/ac8587
• 发表时间: 2022-07
• 期刊: Journal of Physics A: Mathematical and Theoretical
• 作者: L. Giuggioli;Seeralan Sarvaharman

From Micro-to-Macro: How the Movement Statistics of Individual Walkers Affect the Formation of Segregated Territories in the Territorial Random Walk Model

从微观到宏观：区域随机游走模型中个体步行者的运动统计如何影响隔离区域的形成

• DOI: 10.3389/fphy.2019.00129
• 发表时间: 2019
• 期刊: Frontiers in Physics
• 影响因子: 3.1
• 作者: Sarvaharman S