Artificial Intelligence
Learning Outcomes
On successful completion of this Course, students will be able to: Describes what AI is and identify the concept of intelligent agent; Explain and apply various intelligent search methods that an agent can use to solve the problems; Describe knowledge representation and explain how to use this knowledge for reasoning purposes; Demonstrate how to achieve a goal through a sequence of actions called planning; Apply various techniques to an agent when acting under uncertainty; Apply how to process natural language and other perceptual signs in order for an agent to Interact intelligently with the world.
Topics
- Introduction to Artificial Intelligence
- Intelligent Agents
- Solving Problems by Searching
- Informed Search and Exploration
- Constraint Satisfaction Problems
- Adversarial Search
- Logical Agents
- First Order Logic
- Inference in First Order Logic
- Knowledge Representation
- Planning
- Planning and Acting in the Real World
- Uncertainty
- Probabilistic Reasoning
- Probabilistic Reasoning Over Time
- Making simple Decisions
- Making Complex Decisions
- Learning from Observations
- Knowledge in Learning
- Statistical Learning Methods
- Reinforcement Learning
- Communication
- Probabilistic Language Processing
- Perception
- Robotics
- Philosophical Foundation
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