LM101-008: How to Represent Beliefs Using Probability Theory - podcast episode cover

LM101-008: How to Represent Beliefs Using Probability Theory

Sep 03, 201431 minSeason 1Ep. 8
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Episode description

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.

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LM101-008: How to Represent Beliefs Using Probability Theory | Learning Machines 101 podcast - Listen or read transcript on Metacast