An Agent-Based Model for Awareness-Based Sustainability

Author(s):  
Giovanna Sissa ◽  
Ernesto Damiani

This chapter discusses the effects of social interaction on collective behavior regarding the reduction of limited-resource consumption. Our working hypothesis is that key societal and psychological mechanisms leading to sustainable lifestyles can be enabled by ICT tools. We envision tools supporting social norms, i.e. rules governing an individual's by social sanctions that encourage sustainable behavior on the part of user and consumers. As enabling technology we identify smart metering systems that allows users to compare their consumption patterns with the ones of other consumers, as well as to dynamically re-define and share their personal reduction goals. We present an Agent-Based Model (ABM) to explore the role of awareness in the consumption of a scarce resource. Our agents represent households that use a resource – e.g. energy or water – whose consumption has to be reduced. Agents influence each other; such influence improves their awareness that, in turn, impacts on resource consumption.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jonatan Almagor ◽  
Stefano Picascia

AbstractA contact-tracing strategy has been deemed necessary to contain the spread of COVID-19 following the relaxation of lockdown measures. Using an agent-based model, we explore one of the technology-based strategies proposed, a contact-tracing smartphone app. The model simulates the spread of COVID-19 in a population of agents on an urban scale. Agents are heterogeneous in their characteristics and are linked in a multi-layered network representing the social structure—including households, friendships, employment and schools. We explore the interplay of various adoption rates of the contact-tracing app, different levels of testing capacity, and behavioural factors to assess the impact on the epidemic. Results suggest that a contact tracing app can contribute substantially to reducing infection rates in the population when accompanied by a sufficient testing capacity or when the testing policy prioritises symptomatic cases. As user rate increases, prevalence of infection decreases. With that, when symptomatic cases are not prioritised for testing, a high rate of app users can generate an extensive increase in the demand for testing, which, if not met with adequate supply, may render the app counterproductive. This points to the crucial role of an efficient testing policy and the necessity to upscale testing capacity.


2019 ◽  
pp. 246-260
Author(s):  
Paul Humphreys

An agent- based model of social dynamics is introduced using a deformable fitness landscape, and it is shown that in certain clearly specifiable situations, strategies that are different from utility maximization outperform utility maximizers. Simulation results are presented and intuitive interpretations of the results provided. The situations considered occur when individuals' actions affect the outcomes for other agents and endogenous effects are dominant. The Tragedy of the Commons is merely a special case of this. Arguments are given that constraints are to be encouraged in some circumstances. The appropriate role of constraints in various types of society is assessed and their use justified in identifiable types of situations.


2015 ◽  
Vol 7 (3) ◽  
pp. 1-17
Author(s):  
Juan Luis Santos

This paper discusses the key role of incentives in information systems security. Vulnerabilities can be reduced, and even removed, if individual motivations are taken into account in the process of protection and insurance design. The article first discusses the importance of externalities, free-riding behavior, uncertainty and the incentives mismatch between individuals and organizations involved in information systems security. Previous works perform this study using a game theoretical approach but the paper shows that an agent-based model is capable of including the heterogeneity and interrelations among individuals, not focusing on the reached equilibrium but on the dynamics prior to its emergence.


2014 ◽  
Vol 11 (1) ◽  
pp. 17 ◽  
Author(s):  
Abhineet Uppal ◽  
Sean C Wightman ◽  
Sabha Ganai ◽  
Ralph R Weichselbaum ◽  
Gary An

2018 ◽  
Vol 14 (2) ◽  
pp. 341-354 ◽  
Author(s):  
P. Allen ◽  
M. Robinson ◽  
E. Butans ◽  
L. Varga

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