Agent-encapsulated Bayesian networks and the rumor problem

Authors:
Scott Langevin;Marco Valtorta;Mark Bloemeke
Affiliations:
University of South Carolina;University of South Carolina;LogicBlox, Inc., Atlanta, GA
Venue:
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Year:
2010

Citing 4
Cited 1

Probabilistic Reasoning in Multi-Agent Systems: A Graphical Models Approach

Probabilistic Reasoning in Multi-Agent Systems: A Graphical Models Approach
Agent-encapsulated bayesian networks

Agent-encapsulated bayesian networks
A Prototypical System for Soft Evidential Update

Applied Intelligence
Belief Update in Bayesian Networks Using Uncertain Evidence

ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence

A Bayesian network for recurrent multi-criteria and multi-attribute decision problems: Choosing a manual wheelchair

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a multiagent organization for data interpretation and fusion in which each agent uses an encapsulated Bayesian network for knowledge representation, and agents communicate by exchanging beliefs (marginal posterior probabilities) on shared variables. We call this organization an Agent-Encapsulated Bayesian Network (AEBN) system. Communication of probabilities among agents leads to rumors, i.e. potential double counting of information. We propose a new and correct method to compensate for rumors in AEBN systems by passing extended messages that contain joint probabilities.