AI summary

This paper examines the science of AI, particularly intelligent behavior, and addresses how AI should focus on understanding intelligent behavior itself rather than creating a semblance of it. It discusses two hurdles in AI research: acquiring knowledge in symbolic form and applying it tractably.

Abstract

The science of Al is concerned with the study of intelligent forms of behaviour in computational terms. But what does it tell us when a good semblance of a behaviour can be achieved using cheap tricks that seem to have little to do with what we intuitively imagine intelligence to be? Are these intuitions wrong, and is intelligence really just a bag of tricks? Or are the philosophers right, and is a behavioural understanding of intelligence simply too weak? I think both of these are wrong. I suggest in the context of question-answering that what matters when it comes to the science of AI is not a good semblance of intelligent behaviour at all, but the behaviour itself, what it depends on, and how it can be achieved. I go on to discuss two major hurdles that I believe will need to be cleared.