Abstract
AbstractPublic policies are designed to have an impact on particular societies, yet policy-oriented computer models and simulations often focus more on articulating the policies to be applied than on realistically rendering the cultural dynamics of the target society. This approach can lead to policy assessments that ignore crucial social contextual factors. For example, by leaving out distinctive moral and normative dimensions of cultural contexts in artificial societies, estimations of downstream policy effectiveness fail to account for dynamics that are fundamental in human life and central to many public policy challenges. In this paper, we supply evidence that incorporating morally salient dimensions of a culture is critically important for producing relevant and accurate evaluations of social policy when using multi-agent artificial intelligence models and simulations.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Human-Computer Interaction,Philosophy
Reference47 articles.
1. Ahrweiler P, Gilbert N, Pyka A (2016) Joining complexity science and social simulation for innovation policy: agent-based modelling using the skin platform. Cambridge Scholars Publishing, Newcastle upon Tyne, UK
2. Andrighetto G, Conte R (2012) Cognitive dynamics of norm compliance. From norm adoption to flexible automated conformity. Artif Intell Law 20(4):359–381. https://doi.org/10.1007/s10506-012-9135-6
3. Binmore KG (1994) Game theory and the social contract, vol. 1: playing fair. The MIT Press, Cambridge
4. Caldas JC, Coelho H (1999) The origin of institutions: socio-economic processes, choice, norms and conventions. J Artif Soc Soc Simul 2(2):1
5. Cliquet RL, Avramov D (2018) Evolution science and ethics in the third millennium: challenges and choices for humankind. Springer, Cham
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献