Forming and scaffolding human coalitions with a multi-agent framework

Leen Kiat Soh, Nobel Khandaker

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

2 Scopus citations

Abstract

With the advancement of teleconferencing technologies, human users are collaborating online more than ever today. To improve the efficiency and effectiveness of online human coalitions, one needs to support and facilitate collaborations among human users who may or may not know of each other well and of how to work well together as a team or in a team. Here we propose the Integrated Human Coalition Formation and Scaffolding (iHUCOFS) framework. This multiagent framework considers the roles of an agent as both an advisor and a representative to a human user, the tradeoffs between forming and scaffolding human coalitions, and how scaffolding could impact human behaviors for future coalitions. Based on the axioms and design principles of iHUCOFS, we have developed VALCAM - -an iterative auction based coalition formation algorithm. To investigate the feasibility and impact of VALCAM, we have conducted an experiment in a computer-supported collaborative learning environment and obtained promising results.

Original languageEnglish (US)
Title of host publicationAAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems
Pages406-408
Number of pages3
DOIs
StatePublished - 2007
Event6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07 - Honolulu, HI, United States
Duration: May 14 2008May 18 2008

Publication series

NameProceedings of the International Conference on Autonomous Agents

Conference

Conference6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07
Country/TerritoryUnited States
CityHonolulu, HI
Period5/14/085/18/08

Keywords

  • Formation
  • Human coalition
  • Multiagent support
  • Scaffolding

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Networks and Communications
  • Theoretical Computer Science

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