Knowledge-Based AI introduces students to and familiarizes them with knowledge-based artificial intelligence: a type of AI that is seldom discussed. This module also covers the common elements found in knowledge-based AI and how they relate to current methods.
Expect to learn:
- The history of knowledge-based AI and how it relates to current AI methods.
- Pros and cons of knowledge-based AI.
- Important elements of knowledge-based AI.
Time Commitment: Approximately 1 hour
Dr. Ian Perera
Dr. Perera is a research scientist at IHMC working on applying linguistic and cognitive models and knowledge towards natural language understanding and the intersection of such understanding with computer vision and other data-grounded applications. He graduated magna cum laude with a B.S.E. in digital media design at the University of Pennsylvania and obtained his Ph.D. in computer science at the University of Rochester in 2016. Dr. Perera has been at IHMC since 2013.