Kautilya

Conflict resolution through mutuality: Lessons from bayesian updating

Show simple item record

dc.contributor.author Mishra, Srijit
dc.date.accessioned 2012-06-04T06:13:36Z
dc.date.available 2012-06-04T06:13:36Z
dc.date.issued 2012-06-04
dc.identifier.uri http://hdl.handle.net/2275/130
dc.description.abstract If priors are deterministic (zero or unity) and conditional evidence is uncertain (lies between zero and one) then Bayesian updating will lead to posteriors that are the same as priors. This in a sense explains the persistence of fundamentalist belief. Under such a belief system, only if conditional evidence is deterministic and diametrically opposite to that of the prior then a process of change can set in. Conflict resolution is possible through dialogues that calls for mutual respect and allows reasonable pluralism – a Rawlsian prerequisite. If interaction is the basis then self-defeating scenarios can be avoided by giving space to others. Thus, in the political sphere one has to be accommodative. en_US
dc.language.iso en en_US
dc.relation.ispartofseries WP;WP-2011-001
dc.subject Bayesian updating en_US
dc.subject Belief polarization en_US
dc.subject Conflict resolution en_US
dc.subject Fundamentalist belief en_US
dc.subject Interaction en_US
dc.subject Mutual respect en_US
dc.subject Reasonable pluralism en_US
dc.title Conflict resolution through mutuality: Lessons from bayesian updating en_US
dc.type Working Paper en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account