27 min listen
LM101-003: How to Represent Knowledge using Logical Rules
LM101-003: How to Represent Knowledge using Logical Rules
ratings:
Length:
20 minutes
Released:
Apr 29, 2014
Format:
Podcast episode
Description
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 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.
Released:
Apr 29, 2014
Format:
Podcast episode
Titles in the series (85)
LM101-022: How to Learn to Solve Large Constraint Satisfaction Problems: In this episode we discuss how to learn to solve constraint satisfaction inference problems. by Learning Machines 101