Between the Cat, the Dog, and the Human: How AI Learns to Decide Without Deciding “I’d rather be the Cat — uncertain, observant, alive.” 1. Three Models of Intelligence Before we talk about Artificial Intelligence, let’s talk about natural ones — the creatures and thinkers that inspired the way we model cognition, prediction, and decision. A. Schrödinger’s Cat — The Uncertain Observer The Cat is the embodiment of uncertainty. It lives — and doesn’t — until the box is opened . For AI, this is the probabilistic stage , which involves handling incomplete data, missing context, and uncertain outcomes. A responsible system doesn’t assume; it models uncertainty . It waits, gathers, and assigns confidence levels instead of binary truth. That’s how a modern AI should handle risk — not as yes/no , but as a field of probabilities waiting for observation . B. Pavlov’s Dog — The Conditioned Learner The Dog is our symbol of pattern recognition. It learns by association: bell → food → rea...
.png)
.png)
