This paper discusses several key issues in temporal and causal inference in the context of AGI. The main conclusions are: 1 the representation of temporal information should take multiple forms; 2 classical conditioning can be carried out as temporal inference; 3 causal inference can be realized without a predefined causal relation.
['Pei Wang', 'Patrick Hammer']
Issues in Temporal and Causal Inference