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Artificial Intelligence and Law
Published in: Artificial Intelligence and Law 1/2013

01-03-2013

No smoking here: values, norms and culture in multi-agent systems

Authors: Francien Dechesne, Gennaro Di Tosto, Virginia Dignum, Frank Dignum

Published in: Artificial Intelligence and Law | Issue 1/2013

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Abstract

We use the example of the introduction of the anti-smoking legislation to model the relationship between the cultural make-up, in terms of values, of societies and the acceptance of and compliance with norms. We present two agent-based simulations and discuss the challenge of modeling sanctions and their relation to values and culture.
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Footnotes
1
For simplicity, we ignore for now the dimensions Long-Term Orientation (LTO) and Monumentalism (MON), which were added later.
 
2
The residual number of people who accept smoking in the cafe, has to do with the transition moment in which there were still smokers in the cafe.
 
3
Note that we restrict here to the mere order of the norm types, without ‘weights’ assigned to the norm types. This means that “Legal \(\succ\) Social \(\succ\) Private” represents both agents who exclusively consider legal norms, and agents who put the three norm types on the same level. Adding weights could refine this.
 
4
In terms of Schwartz’s value orientations, we could link a higher preference for social norms to a higher score for Embeddedness (vs. Autonomy), a higher preference for legal norms to a higher score for Hierarchy (vs. Egalitarianism) and a higher preference for private norms to a higher score on Mastery (vs. Harmony). However, when we framed Schwartz’s three value oppositions as ‘dimensions’ (which would be orthogonal), it is not evident how to see these in a linear order as we do here for the norm types.
 
5
Recall that in our simulation, we did not count actual smoking, but whether agents supported the permission to smoke in cafes
 
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Metadata
Title
No smoking here: values, norms and culture in multi-agent systems
Authors
Francien Dechesne
Gennaro Di Tosto
Virginia Dignum
Frank Dignum
Publication date
01-03-2013
Publisher
Springer Netherlands
Published in
Artificial Intelligence and Law / Issue 1/2013
Print ISSN: 0924-8463
Electronic ISSN: 1572-8382
DOI
https://doi.org/10.1007/s10506-012-9128-5

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