Publication - Determining Confidence when Integrating Contributions from Multiple Agents

Authors: Becker, Raphen; Corkill, Daniel
Title: Determining Confidence when Integrating Contributions from Multiple Agents
Abstract: Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the confidence in each integrated contribution must be determined. In this paper we look specifically at the issue of confidence determination and its effect on developing “principled,” highly collaborating MASs. A domain-independent analysis model is presented that can be used to measure the sensitivity of a collaborative problem-solving system to potentially incorrect confidence-integration assumptions. The analysis model can be used to determine confidence bounds on integrated contributions and to identify where efforts to improve contribution-dependency estimates lead to the greatest improvement in solution-confidence accuracy.
Publication: Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 449 - 456
Location: Honolulu, Hawaii
Date: May 2007
Sources: PDF: /Documents/Becker-Corkill-AAMAS07.pdf
Reference: Becker, Raphen; Corkill, Daniel. Determining Confidence when Integrating Contributions from Multiple Agents. Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 449-456. May 2007.
bibtex: 
@inproceedings{Becker-435,
  author    = "Raphen Becker and Daniel Corkill",
  title     = "{Determining Confidence when Integrating
               Contributions from Multiple Agents}",
  booktitle = "Proceedings of the Sixth International Joint
               Conference on Autonomous Agents and Multi-Agent
               Systems",
  pages     = "449-456",
  month     = "May",
  year      = "2007",
  address   = "Honolulu, Hawaii",
  url       = "http://mas.cs.umass.edu/paper/435",
}