How Markov Chains Power The Count’s Memoryless Logic
The Count is a powerful metaphor for systems that make decisions based purely on the present state, discarding the weight of past events. This memoryless logic finds its formal mathematical expression in Markov Chains—models that capture state evolution through transition probabilities, enabling efficient, scalable inference without storing full histories. By combining probabilistic transitions with efficient […]
How Markov Chains Power The Count’s Memoryless Logic Read More »