Markov Logic Networks

Markov Logic Networks (MLNs) are a way to combine principles from logic and probability to handle uncertainty in knowledge. They use a set of rules that represent general knowledge (like "birds can usually fly") alongside probabilities that reflect how likely those rules are to be true in different situations. This allows MLNs to make informed predictions and decisions, even when information is incomplete or contradictory. Essentially, they provide a structured way to reason about complex relationships and uncertainties in data, making them valuable in fields like artificial intelligence and data analysis.