Temporal Update Mechanisms for Decision Making with Aging Observations in Probabilistic Networks

Research output: Contribution to conferencePaperpeer-review

Abstract

Mechanisms are proposed for updating beliefs at nodes in probabilistic inference networks, taking into account the time points associated with observations and decisions. Simple models with few parameters are proposed, addressing dependence on exact time points as well as time delays before final belief computation. These models are general enough to accommodate applications whose characteristics differ with respect to how the reliability of information ages with time.

Original languageEnglish (US)
Pages93-100
Number of pages8
StatePublished - 2001
Event2001 AAAI Fall Symposium - North Falmouth, United States
Duration: Nov 2 2001Nov 4 2001

Conference

Conference2001 AAAI Fall Symposium
Country/TerritoryUnited States
CityNorth Falmouth
Period11/2/0111/4/01

ASJC Scopus subject areas

  • General Engineering

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