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This class is offered as CS7637 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.
The class is organized around three primary learning goals. First, this class teaches the concepts, methods, and prominent issues in knowledge-based artificial intelligence. Second, it teaches the specific skills and abilities needed to apply those concepts to the design of knowledge-based AI agents. Third, it teaches the relationship between knowledge-based artificial intelligence and the study of human cognition.
Overview
Syllabus
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- Introduction to KBAI and Cognitive Systems
- Where Knowledge-Based AI fits into AI as a whole,Cognitive systems: what are they?,AI and cognition: how are they connected?
- Fundamentals
- Semantic Networks,Generate & Test,Means-Ends Analysis,Problem Reduction,Production Systems
- Common Sense Reasoning
- Frames,Understanding,Common Sense Reasoning,Scripts
- Planning
- Logic,Planning
- Learning
- Learning by Recording Cases,Incremental Concept Learning,Classification,Version Spaces & Discrimination Trees
- Analogical Reasoning
- Case-Based Reasoning,Explanation-Based Learning,Analogical Reasoning
- Visuospatial Reasoning
- Constraint Propagation,Visuospatial Reasoning
- Design & Creativity
- Configuration,Diagnosis,Design,Creativity
- Metacognition
- Learning by Correcting Mistakes,Meta-Reasoning,AI Ethics
