LM101-071: How to Model Common Sense Knowledge using First-Order Logic and Markov Logic Nets

This episode of Learning Machines 101 explains how to use first-order logic and Markov logic nets to represent common sense knowledge in machine learning algorithms links to free software for implementing Markov logic nets and a free database of common-sense knowledge is provided.

Om Podcasten

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!