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

Gale, Ella; de Lacy Costello, Ben; Adamatzky, Andrew

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.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Bioadcom 2011 Workshop on Bio-inspired Approaches to Advanced Computing and Communications (BioAdcom2011)
• Start Date: Dec 5, 2011
• End Date: Dec 6, 2011
• Publication Date: Dec 5, 2011
• Deposit Date: Jan 25, 2012
• Publicly Available Date: Apr 12, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: memristor, computing, unconventional computing group, unconventional computing, memristors, nanonetworks, ant, simulation
• Public URL: https://uwe-repository.worktribe.com/output/957014
• Contract Date: Apr 12, 2016