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G. Enee and C. Escazut, “A Minimal Model of Communication for Multi-Agent Classifiers System,” 4th International Workshop on Advances in Learning Classifier Systems, Berlin-Heidelburg, 2002, pp. 32-42.

has been cited by the following article:

• TITLE: Nanorobotic Agents Communication Using Bee-Inspired Swarm Intelligence

  AUTHORS: Rodney Mushining, Francis Joseph Ogwu

  KEYWORDS: Nanorobots; Agents; Nanites; Swarms; Nanotechnology; Beelike Nano-Machine

  JOURNAL NAME: Wireless Sensor Network, Vol.5 No.10, October 30, 2013

  ABSTRACT: The main goal of this paper is to design nanorobotic agent communication mechanisms which would yield coordinated swarm behavior. Precisely we propose a bee-inspired swarm control algorithm that allows nanorobotic agents communication in order to converge at a specific target. In this paper, we present experiment to test convergence speed and quality in a simulated multi-agent deployment in an environment with a single target. This is done to measure whether the use of our algorithm or random guess improves efficiency in terms of convergence and quality. The results attained from the experiments indicated that the use of our algorithm enhance the coordinated movement of agents towards the target compared to random guess.