Greed, envy, jealousy: A tool for more efficient resource management
[S.l.] : [S.n.]
InUiterwijk, J.W.H.M.; Roos, N.; Winands, M.H.M. (ed.), Proceedings of BNAIC, the 24th Benelux Conference on Artificial Intelligence, pp. 99-107
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SW OZ DCC AI
Uiterwijk, J.W.H.M.; Roos, N.; Winands, M.H.M. (ed.), Proceedings of BNAIC, the 24th Benelux Conference on Artificial Intelligence
SubjectCognitive artificial intelligence; DI-BCB_DCC_Theme 2: Perception, Action and Control; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
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 artificial life environment. They show the benefits of envy for a multiagent system and how principles underlying envy can make agents more effective with respect to resource management. Furthermore they show under which circumstances (such as the population size or the possibility to punish greed) jealousy turns into a useful feature in a multiagent system. Concepts like population size or availability of resources are translated back into real world phenomena to show possible applications of artificial envy. Simulations show that the benefits in resource-management outweigh the costs of having an envy system.
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