Toward a Theory of Learning and Representing Causal Inferences in Neural Networks
We perceive the world to operate according to a fundamental principle of causality in spite of the seeming chaotic behavior of nature. The Universe seems to be orderly and we are able to comprehend this order at some very deep level. Some events (states of processes) cause other events, which, in turn, cause still other events. And we find, generally, that certain events tend to be associated with certain other events, which is to say, there is regularity to the Universe. This principle lies at the root of cognition and is the basis for scientific investigation. It can be viewed as the language of nature.