Correcting wrongly determined opinions of agents in opinion sharing model

Eiki Kitajima, Caili Zhang, Haruyuki Ishii, Fumito Uwano, Keiki Takadama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper aims at achieving a stable high accuracy of opinion sharing in a distributed network with the agents which have initial opinions. Specifically, the network is composed of multi-agents, and most agents form their opinions according to the neighbors opinions which may be incorrect while a few agents only can receive outside information which is expected to be correct but may be incorrect with noise. To order for the agents to form the correct opinions, we employ Autonomous Adaptive Tuning algorithm (AAT) which can improve the rate of correct opinion shared among the agents where incorrect opinions are filtered out during the opinion sharing process. However, AAT is hard to promote agents to form the correct opinions when all agents have their initial opinions. To tackle this problem, we proposed Autonomous Adaptive Tuning Dynamic (AATD) for the network where initial opinions of all agents are unknown. The intensive experiments have revealed, the following implications: (1) the accuracy rate of the agents with AATD is stably 70%–80% regardless initial opinion state in small network, while the accuracy rate with AAT varies from 0% to 100% depending on the state of the initial opinion; and (2) AATD is robust to different complex network topology in comparison with AAT.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information. Interaction, Visualization, and Analytics - 20th International Conference, HIMI 2018, Held as Part of HCI International 2018, Proceedings
EditorsHirohiko Mori, Sakae Yamamoto
PublisherSpringer Verlag
Pages658-676
Number of pages19
ISBN (Print)9783319920429
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event20th International Conference on Human Interface and the Management of Information, HIMI 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: Jul 15 2018Jul 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10904 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Human Interface and the Management of Information, HIMI 2018 Held as Part of HCI International 2018
CountryUnited States
CityLas Vegas
Period7/15/187/20/18

Keywords

  • Community computing
  • Distributed network
  • Emergent behaviour
  • Self-organisation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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