Probabilistic Reasoning

Probabilistic reasoning is a way of making decisions or drawing conclusions based on the likelihood of events or information. It involves using data, past experiences, or evidence to estimate how probable something is, rather than assuming it will definitely happen. For example, weather forecasts predict there’s a 70% chance of rain based on patterns and data. This approach helps people and systems handle uncertainty, make informed choices, and improve predictions by considering the chances and not just absolutes. It’s used in fields like medicine, finance, and artificial intelligence to make smarter, data-driven decisions amidst inherent unpredictability.