Artificial Intelligence · Unit 6
Uncertainty and Probabilistic Reasoning
Exam-focused notes for Uncertainty and Probabilistic Reasoning (Artificial Intelligence, BIT252): what the TU syllabus asks and how it has actually been tested, with 3 solved past questions from this unit.
What this unit covers
- Dempster-Shafer theory
- Belief networks
- Statistical reasoning
- Certainty factors and reasoning
Dempster-Shafer theory
State the Dempster-Shafer Theory. How is it used in statistical reasoning? [3+2]
Note: The reference notes did not contain this topic. The following answer is based on standard AI/Knowledge Representation curriculum as taught in BSc CSIT programs, consistent with Tribhuvan University syllabus. --- (a) Dempster-Shafer Theory Dempster-Sha...
Full solved answer →How Dempster - Shafer theory can be used for reasoning with certainty? Explain with an example. [5]
Note: The reference notes did not contain material on this topic. The following answer is based on standard AI/Knowledge Representation curriculum as taught in BSc CSIT programs. --- The Dempster-Shafer (D-S) Theory (also called the Theory of Evidence) is a...
Full solved answer →Belief networks
Explain about belief network with an example. [5]
A Belief Network (also called a Bayesian Network or Probabilistic Graphical Model) is a directed acyclic graph (DAG) that represents a set of random variables and their conditional dependencies using probability theory. It provides a compact representation ...
Full solved answer →Make Unit 6 stick
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