Multi-Agent Based Ethical Asset Management

Nicolas Cointe 1, 2, 3 Grégory Bonnet 4 Olivier Boissier 1, 3
1 ISCOD-ENSMSE - Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés
2 Equipe MAD - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
3 LHC - Laboratoire Hubert Curien [Saint Etienne]
4 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
Abstract : The increasing number of ethical investment funds shows how the need of ethics in asset management is growing up. In the same time, in some markets, autonomous agents are managing a larger number of financial transactions than human do. If many philosophers and economists discuss the fairness of different approaches for responsible investment, there is no strong proposition today about the implementation of autonomous agents able to take into account ethical notions in their financial decisions. This article proposes an approach to represent morals and ethics in a BDI architecture and illustrates its use in the context of ethical asset management. An analysis of a first experimentation on a simulated market is given.
Type de document :
Communication dans un congrès
Grégory Bonnet, Maaike Harbers, Koen Hindriks, Mike Katell, Catherine Tessier 1st Workshop on Ethics in the Design of Intelligent Agents, Aug 2016, La Haye, Netherlands. Proceedings of the 1st Workshop of Ethics in the Design of Intelligent Agents (EDIA) 2016, pp.52-57, 〈http://ceur-ws.org/Vol-1668/〉
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Soumis le : mardi 30 août 2016 - 10:21:03
Dernière modification le : jeudi 7 février 2019 - 17:47:39

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Nicolas Cointe, Grégory Bonnet, Olivier Boissier. Multi-Agent Based Ethical Asset Management. Grégory Bonnet, Maaike Harbers, Koen Hindriks, Mike Katell, Catherine Tessier 1st Workshop on Ethics in the Design of Intelligent Agents, Aug 2016, La Haye, Netherlands. Proceedings of the 1st Workshop of Ethics in the Design of Intelligent Agents (EDIA) 2016, pp.52-57, 〈http://ceur-ws.org/Vol-1668/〉. 〈emse-01357603〉

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