
Season 1 · Episode 8
LM101-008: How to Represent Beliefs Using Probability Theory
Learning Machines 101 · Richard M. Golden
September 3, 201430m 41s
Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Episode Summary: This episode focusses upon how an intelligent system can represent beliefs about its environment using fuzzy measure theory. Probability theory is introduced as a special case of fuzzy measure theory which is consistent with classical laws of logical inference.