LM101-003: How to Represent Knowledge using Logical Rules

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: In this episode we will learn how to use .rules. to represent knowledge. We discuss how this works in practice and we explain how these ideas are implemented in a special architecture called the production system. The challenges of representing knowledge using rules are also discussed. Specifically, these challenges include: issues of feature representation, having an. Read More » The post LM101-003: How to Represent Knowledge using Logical Rules appeared first on Learning Machines 101.

Episode metadata supplied by the publisher feed · Published Apr 29, 2014

Embed this episode

Attribution link and audio player

NOW PLAYING

LM101-003: How to Represent Knowledge using Logical Rules

0:00 20:19

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world.

Frequently Asked Questions

How long is this episode of Learning Machines 101?

This episode is 20 minutes long.

When was this Learning Machines 101 episode published?

This episode was published on April 29, 2014.

Can I download this Learning Machines 101 episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!