Authors: Akira Pyinya
Inspired by the Copycat Project, we construct ACI, an analogy-based theory of intelligence in which intelligence is defined as doing the same thing in new circumstances, rather than as an optimization force that pursues goals or maximizes utility. The ACI theory integrates different paradigms of cognitive science and artificial intelligence, explains the emergence of intelligence, and provides a novel perspective on AI alignment that focuses on the balance between capability and normativity and rules out the Paperclip Maximizer scenario. It also shows the possibility of constructing analogy-based machine learning and neural network projects that can outperform current projects in terms of interpretability.
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