Greed, Envy, Jealousy. How we can make Resource Management more efficient
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2011-08-18
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en
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Abstract
Highly social animals like humans developed features such as greed, envy, and jealousy through evolution. Assuming that the concept of jealousy has already been learned, experiments are performed in an artificial life environment. They show what the benefits of jealousy are for a multiagent system and how the underlying principles can be used making AIs 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. Abstract concepts like population size are translated back into real world concepts to show possible applications of artificial jealousy. Simulations show that the benefits in resource-management outweigh the costs of having a jealous system.
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Faculteit der Sociale Wetenschappen