Jitka Čejková,Silvia Holler,Richard Löffler et al.
Jitka Čejková et al.
Larry Bull,Haixia Liu
Larry Bull
This letter uses a modified form of the NK model introduced to explore aspects of distributed control. In particular, a previous result suggesting the use of dynamically formed subgroups within the overall system can be more effective than ...
Self-Isolation and Testing Behaviour During the COVID-19 Pandemic: An Agent-Based Model [0.03%]
新冠肺炎疫情期间的自行隔离和检测行为：基于代理人的模型分析
Umberto Gostoli,Eric Silverman
Umberto Gostoli
Since the beginning of the COVID-19 pandemic, various models of virus spread have been proposed. While most of these models focused on the replication of the interaction processes through which the virus is passed on from infected agents to...
Mahi Luthra,Peter M Todd
Mahi Luthra
Social search has stably evolved across various species and is often used by humans to search for resources (such as food, information, social partners). In turn, these resources frequently come distributed in patches or clusters. In the cu...
Adapting the Exploration-Exploitation Balance in Heterogeneous Swarms: Tracking Evasive Targets [0.03%]
异类群落中调整探索与开发平衡：追踪逃避目标
Hian Lee Kwa,Victor Babineau,Julien Philippot et al.
Hian Lee Kwa et al.
There has been growing interest in the use of multi-robot systems in various tasks and scenarios. The main attractiveness of such systems is their flexibility, robustness, and scalability. An often overlooked yet promising feature is system...
Expertise, Social Influence, and Knowledge Aggregation in Distributed Information Processing [0.03%]
专长、社会影响力和分布式信息处理中的知识聚合
Asimina Mertzani,Jeremy Pitt,Andrzej Nowak et al.
Asimina Mertzani et al.
In many social, cyber-physical, and socio-technical systems, a group of autonomous peers can encounter a knowledge aggregation problem, requiring them to organise themselves, without a centralised authority, as a distributed information pro...
Explaining the Neuroevolution of Fighting Creatures Through Virtual fMRI [0.03%]
通过虚拟fMRI解释战斗生物的神经进化
Kevin Godin-Dubois,Sylvain Cussat-Blanc,Yves Duthen
Kevin Godin-Dubois
While interest in artificial neural networks (ANNs) has been renewed by the ubiquitous use of deep learning to solve high-dimensional problems, we are still far from general artificial intelligence. In this article, we address the problem o...
How Lévy Flights Triggered by the Presence of Defectors Affect Evolution of Cooperation in Spatial Games [0.03%]
退化者存在所触发的莱维飞行对空间博弈中合作演化的影响
Genki Ichinose,Daiki Miyagawa,Erika Chiba et al.
Genki Ichinose et al.
Cooperation among individuals has been key to sustaining societies. However, natural selection favors defection over cooperation. Cooperation can be favored when the mobility of individuals allows cooperators to form a cluster (or group). M...
Martyn Amos,Jamie Webster
Martyn Amos
Crowd simulations are used extensively to study the dynamics of human collectives. Such studies are underpinned by specific movement models, which encode rules and assumptions about how people navigate a space and handle interactions with o...
Intrinsic Evolution of Analog Circuits Using Field Programmable Gate Arrays [0.03%]
基于现场可编程门阵列的模拟电路固有进化算法
Derek Whitley,Jason Yoder,Nicklas Carpenter
Derek Whitley
Evolvable hardware is a field of study exploring the application of evolutionary algorithms to hardware systems during design, operation, or both. The work presented here focuses on the use of field programmable gate arrays (FPGAs), a type ...