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
Effective start/end date3/01/172/12/18