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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
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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
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Reviews summary
Deep dive into knowledge-based ai foundations
According to learners, Knowledge-Based AI: Cognitive Systems provides a deep dive into the foundational and theoretical aspects of AI with well-structured and clear lectures. Students appreciate that the course covers a broad range of classic AI topics, from semantic networks to logic and learning paradigms, offering a strong historical and intellectual perspective. However, some reviewers highlight that the focus is heavily theoretical rather than on practical implementation or modern AI techniques like deep learning. Be prepared for challenging assignments and a significant workload, though many find the assignments rewarding and effective for reinforcing concepts. This course is best suited for those seeking a solid understanding of the 'why' and history behind AI rather than hands-on coding skills for current applications.
More theory, less practical application.
"If you want practical coding experience or modern AI applications, this is not it. It's theory."
"The focus is strongly on concepts and principles, not implementing current AI models or tools."
"Good for academic or intellectual understanding, less for immediate job-ready coding skills."
"Provides the intellectual foundation, not hands-on tool use for deep learning, etc."
Explores classic AI paradigms in depth.
"This course provides a deep historical perspective on AI and cognitive systems..."
"Focuses heavily on foundational knowledge-based systems and classical AI..."
"Great for understanding the roots and intellectual history of AI..."
"It's about the 'why' behind AI methods, focusing on principles and models."
Covers many classic AI areas.
"Covers a wide array of traditional AI techniques and approaches..."
"Explores many different cognitive system models and methods."
"Liked the breadth of topics covered, from logic and planning to various learning types..."
"Gives a good overview of the field's history and diverse areas."
Well-explained video lessons.
"Lectures were well-paced and clear, making complex ideas understandable..."
"The instructors do a good job explaining complex cognitive system concepts."
"Liked how the video lessons broke down difficult concepts into manageable parts."
"Course materials, including readings, were generally well-structured and helpful."
Homework demands significant effort.
"Be prepared for challenging homework problems; they require dedicated time..."
"Assignments push you to think deeply and apply concepts, but can be tough."
"The workload felt quite heavy, especially the later assignments..."
"Projects are difficult but are crucial for solidifying learning."
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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