Architecture and collaborations among agents in mobile educational game

Chris Lu, Maiga Chang, Kinshuk, Echo Huang, Ching Wen Chen

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

12 Citations (Scopus)

Abstract

We describe a multi-agent based context-aware mobile educational game that can generate a series of learning activities for users doing on-the-job training in their working environment. In this paper, we reveal the multi-agent architecture (MAA) that is designed in the mobile educational game. The multi-agent architecture design enables development of a lightweight, flexible, and scalable game on the platform with limited resources such as mobile phones. Six agents have been implemented that worked together in this game. Each agent has its own tasks and sometimes needs help from other agents. Using agents in developing system can not only solve the limited resource issue, but also provide us a way to add further functions and to replace agents into the game easily to improve the game anytime. This paper focuses on designing the tasks that each agent needs to do and the collaborations that may happen among agents.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
Pages556-560
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 9th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011 - Seattle, WA, United States
Duration: 21 Mar. 201125 Mar. 2011

Publication series

Name2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011

Conference

Conference2011 9th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
Country/TerritoryUnited States
CitySeattle, WA
Period21/03/1125/03/11

Keywords

  • context-aware
  • educational game
  • knowledge structure
  • mobile phone
  • multi-agent system

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