Conflicts in Collective Robotics

Chantemargue, Fabrice

doi:10.1007/0-306-46985-5_7

Cited by 1 publication

(1 citation statement)

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“…Agent-based modelling (ABM) is a method of simulating the behaviour and interactions of autonomous agents in a particular environment across time steps. Autonomous agents can be thought of as individual entities that carry out some set of operations on behalf of a user but without the interference of that ownership entity [12]. In this simulation, agents within the ABM are heterogeneous, meaning that each agent possesses a unique set of characteristics, including age group, gender, infection status, etc., that determine the agent's behaviour and the way it interacts with the other agents in the environment [13].…”

Section: Agent-based Simulationmentioning

confidence: 99%

Elementary Effects Analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of Social Distancing and Mask Usage

Li,

Jarvis,

Minhas

2020

Preprint

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COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11, 2020 [1]. With half of the world's countries in lockdown as of April [2] due to this pandemic, monitoring and understanding the spread of the virus and infection rates and how these factors relate to behavioural and societal parameters is crucial for effective policy making. This paper aims to investigate the effectiveness of masks, social distancing, lockdown and self-isolation for reducing the spread of SARS-CoV-2 infections. Our findings based on agent-based simulation modelling show that whilst enforcing a lockdown is widely believed to be the most efficient method to quickly reduce infection numbers, the practice of social distancing and the usage of surgical masks can potentially be more effective than enforcing a lockdown. Our multivariate analysis of simulation results using the Morris Elementary Effects Method [3] suggests that if a sufficient proportion of the population wore surgical masks and followed social distancing regulations, then SARS-CoV-2 infections can be controlled without enforcing a lockdown.

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Section: Agent-based Simulationmentioning

confidence: 99%