Udacity: Knowledge-Based AI: Cognitive Systems

Digital Marketing Certificate
Cornell University via eCornell
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.

Why Take This Course?
At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition. Third, you will be able to use both these practices to address practical problems in multiple domains.


### Unit 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?

### Unit 2: Fundamentals
- Semantic Networks
- Generate & Test
- Means-Ends Analysis
- Problem Reduction
- Production Systems

### Unit 3: Common Sense Reasoning
- Frames
- Understanding
- Common Sense Reasoning
- Scripts

### Unit 4: Planning
- Logic
- Planning

### Unit 5: Learning
- Learning by Recording Cases
- Incremental Concept Learning
- Classification
- Version Spaces & Discrimination Trees

### Unit 6: Analogical Reasoning
- Case-Based Reasoning
- Explanation-Based Learning
- Analogical Reasoning

### Unit 7: Visuospatial Reasoning
- Constraint Propagation
- Visuospatial Reasoning

### Unit 8: Design & Creativity
- Configuration
- Diagnosis
- Design
- Creativity

### Unit 9: Metacognition
- Learning by Correcting Mistakes
- Meta-Reasoning
- AI Ethics
FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

Review for Udacity's Knowledge-Based AI: Cognitive Systems
3.0 Based on 1 reviews

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3.0 9 months ago
by Adam Tetelman is taking this course right now, spending 4 hours a week on it and found the course difficulty to be medium.
This course covers an interesting range in material in a structured way that is easy to follow.

Unlike many of the other more "hip" AI MOOCs out there, the lectures for this one are rather dry and difficult to follow. It feels a lot more like a traditional "classroom" experience than some other MOOCs I have taken lately.

Even given the boring lectures, there is a large amount of content and a heavy use of graphics to demonstrate key points.

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