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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Comparison of Ant-Inspired Gatherer Allocation Approaches Using Memristor-Based Environmental Models
verfasst von : Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
Erschienen in: Bio-Inspired Models of Networks, Information, and Computing Systems
Verlag: Springer Berlin Heidelberg
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Memristors are used to compare three gathering techniques in an already-mapped environment where resource locations are known. The All Site model, which apportions gatherers based on the modeled memristance of that path, proves to be good at increasing overall efficiency and decreasing time to fully deplete an environment, however it only works well when the resources are of similar quality. The Leafcutter method, based on Leafcutter ant behaviour, assigns all gatherers first to the best resource, and once depleted, uses the All Site model to spread them out amongst the rest. The Leafcutter model is better at increasing resource influx in the short-term and vastly out-performs the All Site model in a more varied environments. It is demonstrated that memristor based abstractions of gatherer models provide potential methods for both the comparison and implementation of agent controls.