Georgia Institute of Technology - Knowledge-Based AI: Cognitive Systems
- Offered byUDACITY
Knowledge-Based AI: Cognitive Systems at UDACITY Overview
Duration | 7 weeks |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Knowledge-Based AI: Cognitive Systems at UDACITY Highlights
- Taught by Industry Pros
- Student Support Community
- Rich Learning Content
- Self-Paced Learning
Knowledge-Based AI: Cognitive Systems at UDACITY Course details
- Enhance your skill set and boost your hirability through innovative, independent learning.
- Taught by industry professionals
- 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.
Knowledge-Based AI: Cognitive Systems at UDACITY Curriculum
LESSON 1: 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?
LESSON 2: Fundamentals
Semantic Networks
Generate & Test
Means-Ends Analysis
Problem Reduction
Production Systems
LESSON 3: Common Sense Reasoning
Frames
Understanding
Common Sense Reasoning
Scripts
LESSON 4: Planning
Logic
Planning
LESSON 5: Learning
Learning by Recording Cases
Incremental Concept Learning
Classification
Version Spaces & Discrimination Trees
LESSON 6: Analogical Reasoning
Case-Based Reasoning
Explanation-Based Learning
Analogical Reasoning
LESSON 7: Visuospatial Reasoning
Constraint Propagation
Visuospatial Reasoning
LESSON 8: Design & Creativity
Configuration
Diagnosis
Design
Creativity
LESSON 9: Metacognition
Learning by Correcting Mistakes
Meta-Reasoning
AI Ethics
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