Collaborative human task assignment for open systems

Bin Chen, Adam Eck, Leen Kiat Soh

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

Abstract

Through gathering information, acting autonomously, learning, and behaving socially, intelligent agents provide useful interfaces between complex systems and human users. For example, agents can interact with people to discover their preferences, skills, and expertise, then find suitable tasks that exploit the users' abilities. We describe modeling environmental openness and human learning in a multiagent system for a human collaborative task assignment problem.

Original languageEnglish (US)
Title of host publicationAAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1441-1442
Number of pages2
ISBN (Electronic)9781450342391
StatePublished - 2016
Event15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore
Duration: May 9 2016May 13 2016

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
CountrySingapore
CitySingapore
Period5/9/165/13/16

Keywords

  • Collaborative task assignment
  • Emergent behavior
  • Human learning
  • Openness

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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  • Cite this

    Chen, B., Eck, A., & Soh, L. K. (2016). Collaborative human task assignment for open systems. In AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems (pp. 1441-1442). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).