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This article is the third in a series introducing the basic mathematical concepts that go into properly aligning AGI (artificial general intelligence). It explains a more complicated way to model the situation called a Markov Decision Process, which is a well-known branch of math. This model allows for multivariable, single function, optimization with constraints, and is a great starting place for AGI modeling.