Markov logic network

A Markov Logic Network (MLN) is a probabilistic graphical model that combines elements from both logic and probability. It is used to represent complex relational domains where uncertainty is inherent, making it suitable for tasks in artificial intelligence, such as reasoning, learning, and knowledge representation. Here are some key components and concepts associated with Markov Logic Networks: 1. **Logic Representation**: MLNs use first-order logic to represent knowledge.