A probabilistic movement model for shortest path formation in virtual ant-like agents

Chibaya, Colin; Bangay, Shaun

doi:10.1145/1292491.1292493

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“…In some cases, local in-teraction rules maybe sensor based, as in the case of flocking birds [6]. In other cases these local interactions may be stigmergic [7]. In this work, the bee agents we propose have no leader to influence other bees in the swarm to fulfill their low level agenda.…”

Section: Introductionmentioning

confidence: 99%

Nanorobotic Agents Communication Using Bee-Inspired Swarm Intelligence

Mushining¹,

Ogwu

2013

WSN

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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.

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Section: Introductionmentioning

confidence: 99%