CSCE 420 Lecture 1
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Begin Exam 1 content
Artificial Intelligence
Pushing the limits of what computers can do computationally.
Examples
- Deep Blue (chess-playing computer/machine)
- Watson (Jeopardy-playing computer)
- Siri (personal assistant)
Very broad field, but there are some fundamental concepts.
Course Topics
Search Algorithms:
- Many problems can be solved by casting them as a search problem
- Knowing some properties about the solution can help improve algorithm efficiency
- "Symbolic" problem solving
Knowledge Representation:
- Put knowledge in from human problem solvers
- Logic as knowledge representation
- Uncertainty: using Bayesian probability (not Boolean YES or NO)
Planning, Learning, etc.
- Learn how symbolic planning algorithms work
- Intelligent Agents
My goal for the course: Data-mining for odontocete communication
Until Next Time
- Read Chapter 1