Influence of Social Networks on Recovering Large Scale Distributed Systems

Ren, Wei; Xu, Yang; Luo, Jie; Guo, Liying

doi:10.1007/978-3-642-11161-7_44

Cited by 1 publication

(1 citation statement)

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“…Centrally controlled pre-designed agents inherited the same bottlenecks and critical time failure of individual single agent specially the "single point of failure" that were the first motivation towards Multi-Agent research [8] . In this paradigm each working agent has a manager or more to response to and then the managing agent resend data to be processed to other agent so the managing agent acts as a proxy that controls which agent get what information or view of the system.…”

Section: Introductionmentioning

confidence: 99%

Task Allocation in Distributed Artificial Intelligence using Boids Model

Radwan¹,

Badr²,

Farag³

2012

IJCA

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Decentralized multi-agent approach is a promising research field particularly in the area of performance improvement by handling task allocation and communication time. Some recent research has focused on developing the learning process to be better suited for specific problems; other efforts had proven that a generalized solution is better off especially when there is no global controller. This paper presents a better suited multimembered evolution strategy to agent reasoning with an improved method of pre-assigning initial values to agents. We show through computer experiments that agents using the presented method reach a stable state in a faster pace than other multi-agent systems, although after a stable state is reached the improvement -we are presenting-effect will be a little limited until the system reaches an unstable state again.

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Section: Introductionmentioning

confidence: 99%