Title: Multi-agent-based distributed text information filtering method

Authors: Wuxue Jiang

Addresses: Department of Computer Engineering, Dongguan Polytechnic, No. 3, Daxue Road, Songshanhu, Dongguan City, Guangdong Province, 523808, China

Abstract: In order to solve the problems of text information filtering, such as low filtering efficiency and accuracy, and too much use of network resources, a distributed text information filtering method based on multi-agent is proposed, which schemes out the architecture and working mechanism of distributed text information filtering, designs the scheduling response agent and learning agent in detail, and adopts dynamic interval adaptive load balancing migration (DRALM) strategy for load measurement. The experimental results show that the filtering method not only has high filtering accuracy, but also can process tasks in multiple machines, balance the computational load effectively, and has high filtering performance.

Keywords: multi-agent system; MAS; text information filtering; distributed system; dynamic range adaptive strategy; open computing model; Daemon.

DOI: 10.1504/IJRIS.2021.117074

International Journal of Reasoning-based Intelligent Systems, 2021 Vol.13 No.3, pp.123 - 131

Received: 30 Jan 2019
Accepted: 27 Aug 2019
Published online: 16 Aug 2021 *

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