CS 520

Reasoning Under Uncertainty (3 Cr.)

Prerequisites: CS 380, CS 381, or equivalent

Description: This class covers advanced search techniques. It explores decision making in uncertain environments and uses techniques from blackboard architectures, fuzzy inference systems, and knowledge engineering. Students are expected to have a basic understanding of machine intelligence since this course will cover advanced techniques. For example, support vector machines are a more sophisticated form of a neural network that uses advanced mathematics to achieve faster learning. Adaptive resonance theory has been extended using a theory of brain functioning to the Artificial Brain. Type 1 fuzzy systems cover the ambiguities of the world; Type 2 fuzzy systems extend to deal with uncertainty.