Multiagent Distributed Interpretation With Multiply Sectioned Bayesian Netowrks
Recent Advances
Common approaches in MAS
MAS Area of Focus
Recent Advance
Foundations
Background
*Bayesian Networks (BN)
A Trivial Example BN [L & S 88]
Multiply Sectioned Bayesian Networks (MSBNs)
*The d-sepset: Interface b/w Subnets in a MSBN
*Hypertree MSDAG: Top Level Structure of a MSBN
*Compilation of a MSBN into a Linked Junction Forest
*Inference in a Single-agent Oriented MSBN
What Can be Gained y Using a MSBN?
Why Using MSBNs for Distributed Interpretation?
Major Issues in Extending MSBNs to MASs
What is the semantics of a subnet?
What is the semantics of the jpd in a MSBN?
How do we ensure coherent inference?
How to build a MSBN by multiple developers?
Global structure vs each agent's know-how
What if agents are not organized into a MSBN?
Prospects
Prospects for distributed interpretation
Email: yxiang@cs.uregina.ca
Home Page: http://cs.uregina.ca/~yxiang