Intelligence at the Edge of Chaos

21 ott 2024 · 7 min. 20 sec.
Intelligence at the Edge of Chaos
Descrizione

🔀 Intelligence at the Edge of Chaos This research investigates how intelligent behavior emerges in artificial systems by studying the connection between the complexity of rule-based systems and the abilities...

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🔀 Intelligence at the Edge of Chaos

This research investigates how intelligent behavior emerges in artificial systems by studying the connection between the complexity of rule-based systems and the abilities of models trained to predict these rules. The researchers used elementary cellular automata (ECA), simple one-dimensional systems with varying complexity, to train large language models (LLMs). Their results show that models trained on more complex ECAs demonstrate greater intelligence, excelling in reasoning and chess move prediction tasks. A key finding is the importance of training at a "sweet spot" of complexity—known as the "edge of chaos"—where systems are structured yet difficult to predict, fostering intelligent behavior. Additionally, models trained on complex rules develop sophisticated solutions by incorporating information from previous states, which improves their ability to generalize and perform well on various tasks.

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Autore Shahriar Shariati
Organizzazione Shahriar Shariati
Sito -
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