Recent Advance
Foundation:a probabilistic framework for multiagent distributed interpretation based on multiply sectioned Bayesian networks (MSBNs).
Advance:
- Distributed representation of uncertainty knowledge that is consistent with probability theory.
- Distributed inference that ensures global consistency.
- Agents can be developed by independent designers.
- Internal structure/knowledge of agents remains private.
Controversial aspects:
- Are cooperative MASs important?
- Is homogeneous knowledge representation necessary?