Students who complete this unit will demonstrate that they can:

• Describe the complexities of temporal probabilistic reasoning.
• Describe the relationship between preferences and utility functions.
• Explain how utility functions and probabilistic reasoning can be combined to make rational decisions.
• Describe and explain the use of Hidden Markov Models (HMMs) for filtering, prediction, smoothing and decoding of temporal models.
• Design and implement an HMM as one example of a temporal probabilistic system.