Bayesian ARgumentation via Delphi

  • Korb, Kevin (Primary Chief Investigator (PCI))
  • Nicholson, Ann (Chief Investigator (CI))
  • Nyberg, Erik (Chief Investigator (CI))
  • Morris, Shane (Chief Investigator (CI))
  • Bolger, Fergus (Chief Investigator (CI))
  • Rowe, Gene (Chief Investigator (CI))
  • Wright, George (Chief Investigator (CI))
  • Hahn, Ulrike (Chief Investigator (CI))
  • Lagnado, David (Chief Investigator (CI))
  • Fenton, Norman (Chief Investigator (CI))
  • Neil, Martin (Chief Investigator (CI))
  • Zukerman, Ingrid (Chief Investigator (CI))
  • Wybrow, Michael (Chief Investigator (CI))
  • Lewis, Belinda (Associate Investigator (AI))

Project: Research

Project Details

Project Description

BARD — Bayesian Argumentation via Delphi — will use causal Bayesian networks as underlying structured representations for argument analysis and automated Delphi methods for bring groups of analysts to a consensus argument. The project involves researching and designing new means of interacting with Bayesian networks, including new means of assessing their potential in causal explanations.
Short titleBARD
AcronymBARD
StatusFinished
Effective start/end date3/01/17 → 2/12/18