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Over the past few decades, the research community has been interested in the study of multi-agent systems and their emerging collective dynamics. These systems are all around us in nature, like bacterial colonies, fish schools, bird flocks,…

适应与自组织系统 · 物理学 2023-12-12 Gourab Kumar Sar , Dibakar Ghosh

Collective movement inspired by animal groups promises inherited benefits for robot swarms, such as enhanced sensing and efficiency. However, while animals move in groups using only their local senses, robots often obey central control or…

机器人学 · 计算机科学 2024-06-26 David Mezey , Renaud Bastien , Yating Zheng , Neal McKee , David Stoll , Heiko Hamann , Pawel Romanczuk

Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause coherent functional global patterns to emerge. SI provides a basis with…

适应与自组织系统 · 物理学 2007-05-23 Vitorino Ramos , Carlos Fernandes , Agostinho C. Rosa

Communication and coordination play a major role in the ability of bacterial cells to adapt to ever changing environments and conditions. Recent work has shown that such coordination underlies several aspects of bacterial responses…

Groups coordinate more effectively when individuals are able to learn from others' successes. But acquiring such knowledge is not always easy, especially in real-world environments where success is hidden from public view. We suggest that…

Collective behavior in animals has long been modeled through self-propelled particle models, which reproduce striking group-level phenomena through abstract interaction forces. Yet these models are fundamentally descriptive: they leave open…

机器人学 · 计算机科学 2026-05-19 Vito Mengers , Bao Duc Cao , Oliver Brock

Learning the activities of animals is important for the purpose of monitoring their welfare vis a vis their behaviour with respect to their environment and conspecifics. While previous works have largely focused on activity recognition in a…

机器学习 · 计算机科学 2018-11-26 Kehinde Owoeye , Stephen Hailes

In this paper, we present a model describing the collective motion of birds. The model introduces spontaneous changes in direction which are initialized by few agents, here referred as leaders, whose influence act on their nearest…

数值分析 · 数学 2024-06-21 Giacomo Albi , Federica Ferrarese

Animals typically forage in groups. Social foraging can help animals avoid predation and decrease their uncertainty about the richness of food resources. Despite this, theoretical mechanistic models of patch foraging have overwhelmingly…

种群与进化 · 定量生物学 2022-02-14 Subekshya Bidari , Ahmed El Hady , Jacob Davidson , Zachary P Kilpatrick

Numerical models indicate that collective animal behaviour may emerge from simple local rules of interaction among the individuals. However, very little is known about the nature of such interaction, so that models and theories mostly rely…

Understanding the mechanisms underlying the emergence of leadership in multi-agent systems is still under investigation in many areas of research where group coordination is involved. While leadership has been mostly investigated in the…

多智能体系统 · 计算机科学 2020-06-09 Maria Lombardi , William H. Warren , M. di Bernardo

Swarm foraging is a common test case application for multi-robot systems. In this paper we present a novel algorithm for controlling swarm robots with limited communication range and storage capacity to efficiently search for and retrieve…

机器人学 · 计算机科学 2019-06-18 Simon O. Obute , Mehmet R. Dogar , Jordan H. Boyle

In group foraging situations, the conventional expectation is that increased food availability would enhance consumption, especially when animals prioritize maximizing their food intake. This paper challenges this conventional wisdom by…

计算机科学与博弈论 · 计算机科学 2023-07-12 Robin Vacus , Amos Korman

Interacting individuals in complex systems often give rise to coherent motion exhibiting coordinated global structures. Such phenomena are ubiquitously observed in nature, from cell migration, bacterial swarms, animal and insect groups, and…

神经与进化计算 · 计算机科学 2024-07-17 Dongjo Kim , Jeongsu Lee , Ho-Young Kim

We address the problem of how individuals can integrate efficiently their private behavior with information provided by others within a group. To this end, we consider the model of collective search introduced in…

生物物理 · 物理学 2026-02-02 Francesco Boccardo , Simone Di Marino , Agnese Seminara

We investigate the motion of groups of intruders in a two-dimensional granular system by using discrete numerical simulations. By imposing either a constant velocity or a thrusting force on larger disks (intruders) that move within smaller…

软凝聚态物质 · 物理学 2022-12-05 Douglas Daniel de Carvalho , Erick de Moraes Franklin

In animal societies as well as in human crowds, many observed collective behaviours result from self-organized processes based on local interactions among individuals. However, models of crowd dynamics are still lacking a systematic…

物理与社会 · 物理学 2009-09-30 Mehdi Moussaid , Dirk Helbing , Simon Garnier , Anders Johansson , Maud Combe , Guy Theraulaz

A new approach for the description of phenomena of social aggregation is suggested. On the basis of psychological concepts (as for instance social norms and cultural coordinates), we deduce a general mechanism for the social aggregation in…

物理与社会 · 物理学 2011-04-29 Daniele Vilone , Andrea Guazzini

Colonies of ants are systems of interacting living organisms in which interactions between individuals and their environment can produce a reliable performance of a complex tasks without the need for centralised control. Particularly…

生物物理 · 物理学 2015-08-28 Miriam Malíčková , Christian Yates , Katarína Boďová

Collective motion in animal groups, such as swarms of insects, flocks of birds, and schools of fish, are some of the most visually striking examples of emergent behavior. Empirical analysis of these behaviors in experiment or computational…

软凝聚态物质 · 物理学 2021-03-16 Kevin Schultz , Marisel Villafane-Delgado , Elizabeth P. Reilly , Grace M. Hwang , Anshu Saksena