Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models

Gale, E., de Lacy Costello, B. and Andrew, A. (2011) Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models. In: Bioadcom 2011 Workshop on Bio-inspired Approaches to Advanced Computing and Communications (BioAdcom2011), York, England, 5th - 6th December, 2011.

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Abstract

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 Leaf Cutter method, based on Leaf Cutter 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 Leaf Cutter 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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:memristor, computing, unconventional computing group, unconventional computing, memristors, nanonetworks, ant, simulation
Faculty/Department:Faculty of Environment and Technology
ID Code:16421
Deposited By: Dr E. Gale
Deposited On:25 Jan 2012 12:47
Last Modified:29 May 2014 22:36

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