Simulations with Values

Heidari, Samaneh; Jensen, Maarten; Dignum, Frank

doi:10.1007/978-3-030-34127-5_19

Cited by 14 publications

(9 citation statements)

References 6 publications

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“…Therefore the values can also be seen as linking individual drivers to the social group. We have used this abstract social science framework already in VanHee et al 2011, Vanhée (2015), Cranefield et al 2017, Heidari et al (2018). In order to use it in these simulations we have formalized and extended the framework such that it can be coupled to concrete behaviour preferences in each context.…”

Section: Agent Modelmentioning

confidence: 99%

Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation

Dignum

Davidsson

et al. 2020

Minds & Machines

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During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How many people and which people should be tested? Although there are many good models from e.g. epidemiologists on the spread of the virus under certain conditions, these models do not directly translate into the interventions that can be taken by government. Neither can these models contribute to understand the economic and/or social consequences of the interventions. However, effective and sustainable solutions need to take into account this combination of factors. In this paper, we propose an agent-based social simulation tool, ASSOCC, that supports decision makers understand possible consequences of policy interventions, but exploring the combined social, health and economic consequences of these interventions.

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Section: Agent Modelmentioning

confidence: 99%

Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation

Dignum

Davidsson

et al. 2020

Minds & Machines

Self Cite

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“…The implemented needs within our model are derived from the renowned Maslow framework (McLeod 2007) and can be grouped into two classes: psychological and physiological. Building on the concept of value trees (van der Weide 2011; Heidari et al 2020), we propose that the Schwartz BVT Values inform the prioritization of an individual's psychological needs. This implies that whatever one values in life determines what he/she desires.…”

Section: 11mentioning

confidence: 99%

“…What varies over the course of a simulation is the satisfaction level of needs. The dynamism of satisfaction levels is modelled using the 'water tank' approach as presented by Dörner et al (2006) and modelled by Di Tosto & Dignum (2012) and Heidari et al (2020).…”

Section: 16mentioning

confidence: 99%

“…Modelling the value circumplex of the BVT (Schwartz 2012) is done on the basis of a procedure presented by Heidari et al (2020). A detailed description of how this procedure is implemented in our model can be found in Appendix B.1.…”

Section: 23mentioning

confidence: 99%

“…Moreover, the need satisfaction levels of agents are subject to a decay rate, implying that agents who refrain from doing anything will see their satisfaction levels drop slowly but surely to the point of depletion. The dynamics of satisfaction levels is modelled using the 'water tank' approach as presented by Dörner et al (2006) and modelled by Di Tosto & Dignum (2012) and Heidari et al (2020); where each need is represented as a water tank that can be filled with certain quantities of satisfaction. A full water tank represents a need that is fully met, whereas an empty water tank represents one that has been fully neglected.…”

Section: 29mentioning

confidence: 99%

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How Culture Influences the Management of a Pandemic: A Simulation of the COVID-19 Crisis

Kruelen

Bruin

Ghorbani

et al. 2022

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Since its first appearance in Wuhan (China), countries have been employing, to varying degrees of success, a series of non-pharmaceutical interventions aimed at limiting the spread of SARS-CoV-2 within their populations. In this article, we build on scientific work that demonstrates that culture is part of the explanation for the observed variability between countries in their ability to effectively control the transmission of SARS-CoV-2. We present a theoretical framework of how culture influences decision-making at the level of the individual. This conceptualization is formalized in an agent-based model that simulates how cultural factors can combine to produce differences across populations in terms of the behavioral responses of individuals to the COVID-19 crisis. We illustrate that, within our simulated environment, the culturally-dependent willingness of people to comply with public health related measures might constitute an important determinant of differences in infection dynamics across populations. Our model generates the highest rates of non-compliance within cultures marked as individualist, progressive and egalitarian. Our model illustrates the potential role of culture as a population-level predictor of infections associated with COVID-19. In doing so, the model, and theoretical framework on which it is based, may inform future studies aimed at incorporating the effect of culture on individual decision-making processes during a pandemic within social simulation models.

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Towards Fundamental Models of Radicalization

Hurk

Dignum

2021

Springer Proceedings in Complexity

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This paper proposes a multi-agent based model of radicalization, based on the theoretical framework from [1]. The model combines the need for significance with ideology and social group theory, in order to create radical behavior. With this model a first attempt is made for a fundamental model that can be used to get better insights in the mechanism behind radicalization. Results show that agents do radicalize and that this leads to the formation of isolated social groups. Furthermore, results show that radicalization does not just depend on a deviating mental attitude, but is a combination of individual and context characteristics.

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Simulations with Values

Cited by 14 publications

References 6 publications

Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation

Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation

How Culture Influences the Management of a Pandemic: A Simulation of the COVID-19 Crisis

Towards Fundamental Models of Radicalization

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