AI-as-exploration: Navigating intelligence space
CoRR(2024)
摘要
Artificial Intelligence is a field that lives many lives, and the term has
come to encompass a motley collection of scientific and commercial endeavours.
In this paper, I articulate the contours of a rather neglected but central
scientific role that AI has to play, which I dub `AI-as-exploration'.The basic
thrust of AI-as-exploration is that of creating and studying systems that can
reveal candidate building blocks of intelligence that may differ from the forms
of human and animal intelligence we are familiar with. In other words, I
suggest that AI is one of the best tools we have for exploring intelligence
space, namely the space of possible intelligent systems. I illustrate the value
of AI-as-exploration by focusing on a specific case study, i.e., recent work on
the capacity to combine novel and invented concepts in humans and Large
Language Models. I show that the latter, despite showing human-level accuracy
in such a task, most probably solve it in ways radically different, but no less
relevant to intelligence research, to those hypothesised for humans.
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