Markov logic networks (MLNs) reconcile two opposing schools in machine learning and artificial intelligence: causal networks, which account for uncertainty extremely well, and first-order logic, which ...

Dependence logic emerges from extending classical logics to capture explicit variable dependencies within a unified semantic framework. Rather than evaluating formulae on individual assignments, this ...

This course is available on the MPhil/PhD in Philosophy. This course is not available as an outside option to students on other programmes. The course is, in general, only aimed at those students who ...

Among many proposed new device concepts and architectural designs, there is increasing interest in a fundamentally different form of brain-like logic based on probabilistic inference that is far more ...

Imagine walking along in the African savanna. Suddenly you notice a moving bush partially obscuring a large yellow object. From this limited information, you need to figure out if you’re in danger and ...