An agent-based collaborative information processing system for mixed reality applications - Part B: Agent-based collaborative information processing and coordination

Charles Z. Liu, Manolya Kavakli

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper mainly presents the system architecture of an agent-based collaborative information processing in mixed reality applications. We model system elements as agents with different processes, data, and applications. Various types of agents and mixed-agent groups are discussed, and the combination of agents as agent-groups are designed to perform the tasks including sensing, user-identification, feature learning and target of interest differentiation, 3D modeling, mixed reality fusion, and interaction. We design an agent-based collaboration strategy with concurrent operation coordination using a serial logic scheduling strategy. The integrity of the system and the correctness of scheduling is guaranteed by using lock-based coordination with timeouts strategy.

Original languageEnglish
Title of host publicationProceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
PublisherIEEE
Pages633-638
Number of pages6
ISBN (Electronic)9781538637579
DOIs
Publication statusPublished - 26 Jun 2018
Event13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China
Duration: 31 May 20182 Jun 2018

Publication series

NameProceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Conference

Conference13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Country/TerritoryChina
CityWuhan
Period31/05/182/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • agent-based systems
  • collaborative information processing
  • concurrent transaction coordination
  • intelligent mixed reality
  • multi-task scheduling

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