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Greed, Envy, Jealousy A Tool for more efficient Resource Management
Radboud University Nijmegen, The Netherlands.ORCID iD: 0000-0002-0882-4851
Radboud University Nijmegen, The Netherlands.
Radboud University Nijmegen, The Netherlands.
2012 (English)In: Proceedings of BNAIC, the 24th Benelux Conference on Artificial Intelligence / [ed] Uiterwijk, J.W.H.M.; Roos, N.; Winands, M.H.M., 2012, 99-107 p.Conference paper, Published paper (Refereed)
Abstract [en]

Highly social animals like humans developed features such as greed, envy, and jealousy through evolution.Assuming that the concept of envy has already been learned, experiments are performed in an artificiallife environment. They show the benefits of envy for a multiagent system and how principles underlyingenvy can make agents more effective with respect to resource management. Furthermore they show underwhich circumstances (such as the population size or the possibility to punish greed) jealousy turns intoa useful feature in a multiagent system. Concepts like population size or availability of resources aretranslated back into real world phenomena to show possible applications of artificial envy. Simulationsshow that the benefits in resource-management outweigh the costs of having an envy system.

Place, publisher, year, edition, pages
2012. 99-107 p.
National Category
Sociology (excluding Social Work, Social Psychology and Social Anthropology)
Identifiers
URN: urn:nbn:se:lnu:diva-56492OAI: oai:DiVA.org:lnu-56492DiVA: diva2:970459
Conference
24th Benelux Conference on Artificial Intelligence (BNAIC 2012).
Available from: 2016-09-13 Created: 2016-09-13 Last updated: 2016-11-02Bibliographically approved

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Farjam, Mike
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CiteExportLink to record
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Citation style
  • apa
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Language
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