Towards Computer Simulations of Virtue Ethics

This article presents two approaches for computer simulations of virtue ethics in the context of agent-based modeling, a simple way and a complex way. The simple way represents virtues as numeric variables that are invoked in specific events or situations. This way can easily be implemented and incl...

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Main Author: Lasquety-Reyes Jeremiah A.
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Open Philosophy
Subjects:
Online Access:https://doi.org/10.1515/opphil-2019-0029
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spelling doaj-3d2da5a2b7224404bc8aed28eb67914b2021-09-05T20:51:23ZengDe GruyterOpen Philosophy2543-88752019-09-012139941310.1515/opphil-2019-0029opphil-2019-0029Towards Computer Simulations of Virtue EthicsLasquety-Reyes Jeremiah A.0MECS, Leuphana Universität LüneburgGermanyThis article presents two approaches for computer simulations of virtue ethics in the context of agent-based modeling, a simple way and a complex way. The simple way represents virtues as numeric variables that are invoked in specific events or situations. This way can easily be implemented and included in social simulations. On the other hand, the complex way requires a PECS framework: physical, cognitive, emotional, and social components need to be implemented in agents. Virtue is the result of the interaction of these internal components rather than a single variable. I argue that the complex way using the PECS framework is more suitable for simulating virtue ethics theory because it can capture the internal struggle and conflict sometimes involved in the practice of virtue. To show how the complex way could function, I present a sample computer simulation for the cardinal virtue of temperance, the virtue that moderates physical desires such as food, drink, and sex. This computer simulation is programmed in Python and builds upon the well-known Sugarscape simulation.1https://doi.org/10.1515/opphil-2019-0029virtue ethicsethicsphilosophycomputer simulationsocial simulationagent-based modelingpython
collection DOAJ
language English
format Article
sources DOAJ
author Lasquety-Reyes Jeremiah A.
spellingShingle Lasquety-Reyes Jeremiah A.
Towards Computer Simulations of Virtue Ethics
Open Philosophy
virtue ethics
ethics
philosophy
computer simulation
social simulation
agent-based modeling
python
author_facet Lasquety-Reyes Jeremiah A.
author_sort Lasquety-Reyes Jeremiah A.
title Towards Computer Simulations of Virtue Ethics
title_short Towards Computer Simulations of Virtue Ethics
title_full Towards Computer Simulations of Virtue Ethics
title_fullStr Towards Computer Simulations of Virtue Ethics
title_full_unstemmed Towards Computer Simulations of Virtue Ethics
title_sort towards computer simulations of virtue ethics
publisher De Gruyter
series Open Philosophy
issn 2543-8875
publishDate 2019-09-01
description This article presents two approaches for computer simulations of virtue ethics in the context of agent-based modeling, a simple way and a complex way. The simple way represents virtues as numeric variables that are invoked in specific events or situations. This way can easily be implemented and included in social simulations. On the other hand, the complex way requires a PECS framework: physical, cognitive, emotional, and social components need to be implemented in agents. Virtue is the result of the interaction of these internal components rather than a single variable. I argue that the complex way using the PECS framework is more suitable for simulating virtue ethics theory because it can capture the internal struggle and conflict sometimes involved in the practice of virtue. To show how the complex way could function, I present a sample computer simulation for the cardinal virtue of temperance, the virtue that moderates physical desires such as food, drink, and sex. This computer simulation is programmed in Python and builds upon the well-known Sugarscape simulation.1
topic virtue ethics
ethics
philosophy
computer simulation
social simulation
agent-based modeling
python
url https://doi.org/10.1515/opphil-2019-0029
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