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Ashok Goel
and
David Joyner
The goals of knowledge-based AI are to build AI agents capable of human-level intelligence and gain insights into human cognition. Learn online with Udacity.
Register for this course and see more details by visiting:
OpenCourser.com/course/qs2wxi/udacity
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What's inside
Syllabus
01 - Intro to Knowledge-Based AI
02 - Introduction to CS7637
03 - Semantic Networks
04 - Generate & Test
Read more
Syllabus
01 - Intro to Knowledge-Based AI
02 - Introduction to CS7637
03 - Semantic Networks
04 - Generate & Test
Read more
05 - Means-Ends Analysis
06 - Production Systems
07 - Frames
08 - Learning by Recording Cases
09 - Case-Based Reasoning
10 - Incremental Concept Learning
11 - Classification
12 - Logic
13 - Planning
14 - Understanding
15 - Commonsense Reasoning
16 - Scripts
17 - Explanation-Based Learning
18 - Analogical Reasoning
19 - Version Spaces
20 - Constraint Propagation
21 - Configuration
22 - Diagnosis
23 - Learning by Correcting Mistakes
24 - Meta-Reasoning
25 - Advanced Topics
26 - Wrap-Up
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines a range of knowledge-based AI techniques and algorithms
Develops advanced understanding of knowledge-based AI concepts
Taught by experts in the field, Ashok Goel and David Joyner
Save this course
Save Knowledge-Based AI: Cognitive Systems to your list so you can find it easily later:
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Reviews summary
Knowledgeable introduction to knowledge-based ai
Overall, learners found that this course provided a good overview of the field of knowledge-based AI. The material covered a comprehensive range of topics in a structured way, making it easy for students to follow. The examples provided were sometimes found to be less applicable to real-world use cases. Some learners recommended involving more hands-on, practical exercises in the future.
Course delivers sound introductory content.
"This course covers an interesting range in material in a structured way that is easy to follow."
More practical exercises would help.
"Could use practical programming exercises, like python notebook style that Andrew Ng does in his Coursera courses."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Knowledge-Based AI: Cognitive Systems with these
activities:
Review basic logic and set theory
Show steps
Knowledge of logic and set theory will help you understand the foundations of knowledge-based AI.
Browse courses on
Logic
Show steps
-
Review your notes from a previous logic or set theory course.
-
Complete some practice problems.
Read 'Artificial Intelligence: A Modern Approach' by Stuart Russell and Peter Norvig
Show steps
This book provides a comprehensive overview of AI, including knowledge-based AI.
Show steps
-
Read the chapters on knowledge representation and reasoning.
-
Complete the exercises and problems at the end of each chapter.
Complete the Udacity course on Knowledge-Based AI
Show steps
This course will provide you with a solid foundation in knowledge-based AI.
Show steps
-
Sign up for the Udacity course on Knowledge-Based AI.
-
Complete the video lectures and quizzes.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve logic puzzles and syllogisms
Show steps
Solving logic puzzles and syllogisms will help you improve your logical reasoning skills, which are essential for knowledge-based AI.
Browse courses on
Logic
Show steps
-
Find a collection of logic puzzles and syllogisms.
-
Solve the puzzles and syllogisms using the techniques you have learned in the course.
Practice writing production rules
Show steps
Writing production rules is a fundamental skill in knowledge-based AI.
Browse courses on
Knowledge Representation
Show steps
-
Find a set of problems that require the use of production rules.
-
Write production rules to solve the problems.
Join a study group
Show steps
Joining a study group will allow you to collaborate with other students and learn from each other.
Browse courses on
Collaboration
Show steps
-
Find a study group that is studying knowledge-based AI.
-
Attend the study group meetings and participate in the discussions.
-
Help other students with their understanding of the material.
Implement a knowledge-based system in a programming language
Show steps
Implementing a knowledge-based system will help you understand how they work and how to apply them to real-world problems.
Browse courses on
Programming
Show steps
-
Choose a problem domain and gather knowledge about it.
-
Design the knowledge representation scheme and data structures.
-
Implement the inference engine and control mechanisms.
-
Evaluate the system's performance.
Develop a knowledge base for a specific domain
Show steps
Developing a knowledge base will help you understand how knowledge is represented and used in knowledge-based AI.
Browse courses on
Knowledge Base
Show steps
-
Choose a domain that you are familiar with.
-
Gather knowledge about the domain.
-
Design the knowledge representation scheme and data structures.
-
Implement the knowledge base in a programming language.
Attend a conference on AI
Show steps
Attending a conference on AI will allow you to learn about the latest research and developments in the field, and network with other AI professionals.
Browse courses on
AI
Show steps
-
Find a conference on AI that focuses on knowledge-based AI.
-
Register for the conference.
-
Attend the conference and participate in the sessions.
Review basic logic and set theory
Show steps
Knowledge of logic and set theory will help you understand the foundations of knowledge-based AI.
Browse courses on
Logic
Show steps
Show steps
Show steps
- Review your notes from a previous logic or set theory course.
- Complete some practice problems.
Read 'Artificial Intelligence: A Modern Approach' by Stuart Russell and Peter Norvig
Show steps
This book provides a comprehensive overview of AI, including knowledge-based AI.
Show steps
Show steps
Show steps
- Read the chapters on knowledge representation and reasoning.
- Complete the exercises and problems at the end of each chapter.
Complete the Udacity course on Knowledge-Based AI
Show steps
This course will provide you with a solid foundation in knowledge-based AI.
Show steps
Show steps
Show steps
- Sign up for the Udacity course on Knowledge-Based AI.
- Complete the video lectures and quizzes.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve logic puzzles and syllogisms
Show steps
Solving logic puzzles and syllogisms will help you improve your logical reasoning skills, which are essential for knowledge-based AI.
Browse courses on
Logic
Show steps
Show steps
Show steps
- Find a collection of logic puzzles and syllogisms.
- Solve the puzzles and syllogisms using the techniques you have learned in the course.
Practice writing production rules
Show steps
Writing production rules is a fundamental skill in knowledge-based AI.
Browse courses on
Knowledge Representation
Show steps
Show steps
Show steps
- Find a set of problems that require the use of production rules.
- Write production rules to solve the problems.
Join a study group
Show steps
Joining a study group will allow you to collaborate with other students and learn from each other.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group that is studying knowledge-based AI.
- Attend the study group meetings and participate in the discussions.
- Help other students with their understanding of the material.
Implement a knowledge-based system in a programming language
Show steps
Implementing a knowledge-based system will help you understand how they work and how to apply them to real-world problems.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Choose a problem domain and gather knowledge about it.
- Design the knowledge representation scheme and data structures.
- Implement the inference engine and control mechanisms.
- Evaluate the system's performance.
Develop a knowledge base for a specific domain
Show steps
Developing a knowledge base will help you understand how knowledge is represented and used in knowledge-based AI.
Browse courses on
Knowledge Base
Show steps
Show steps
Show steps
- Choose a domain that you are familiar with.
- Gather knowledge about the domain.
- Design the knowledge representation scheme and data structures.
- Implement the knowledge base in a programming language.
Attend a conference on AI
Show steps
Attending a conference on AI will allow you to learn about the latest research and developments in the field, and network with other AI professionals.
Browse courses on
AI
Show steps
Show steps
Show steps
- Find a conference on AI that focuses on knowledge-based AI.
- Register for the conference.
- Attend the conference and participate in the sessions.
Career center
Learners who complete Knowledge-Based AI: Cognitive Systems will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/qs2wxi/udacity
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Knowledge-Based AI: Cognitive Systems.
This comprehensive textbook provides a broad overview of AI, covering topics such as knowledge representation, search, planning, and learning. It valuable resource for anyone interested in gaining a deeper understanding of the field.
Provides a comprehensive overview of cognitive systems, covering topics such as perception, learning, memory, and reasoning. It valuable resource for anyone who wants to learn more about how cognitive systems work.
Save
Provides a comprehensive overview of machine learning, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about machine learning.
Save
Provides a comprehensive overview of deep learning, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of knowledge-based artificial intelligence, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about knowledge-based AI.
Provides a comprehensive overview of natural language processing, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about natural language processing.
Save
Provides a comprehensive overview of computer vision, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about computer vision.
Provides a comprehensive overview of cognitive science, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about cognitive science.
Provides a comprehensive overview of cognitive science, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about cognitive science.
This online encyclopedia provides a comprehensive overview of philosophy, covering a wide range of topics from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about philosophy.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qs2wxi/udacity
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Via
Udacity
Instructors
Ashok Goel
David Joyner
Language
English
Good to know
Examines a range of knowledge-based AI techniques and algorithms
Develops advanced understanding of knowledge-based AI concepts
Taught by experts in the field, Ashok Goel and David Joyner
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