CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning
The ability to reason about causality, and ask “what would happen if…?’’ is one property that sets human intelligence apart from artificial intelligence. Modern AI algorithms perform well on clearly defined pattern recognition tasks but fall short generalizing in the ways that human intelligence can. This often leads to unsatisfactory results on tasks that require extrapolation from training examples, e.g., recognizing events or objects in contexts that are different from the training set. To address this problem, we have built a high-fidelity simulation environment, called CausalCity, which is