Artificial
Intelligence

6.5 Probability and Time

We can model a dynamic system as a belief network by treating a feature at a particular time as a random variable. We first give a model in terms of states and then show how it can be extended to features.

• 6.5.1 Markov Chains
• 6.5.2 Hidden Markov Models
  • 6.5.2.1 Localization
• 6.5.3 Algorithms for Monitoring and Smoothing
• 6.5.4 Dynamic Belief Networks
• 6.5.5 Time Granularity