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Emergent Models: New ML paradigm uses simple systems for intelligence

By PulseAugur Editorial · [2 sources] ·

A new research paper introduces "Emergent Models" (EMs), a machine learning paradigm that diverges from traditional input-output mapping. Instead, EMs focus on the emergence of computational behaviors within simple dynamical systems, trained via evolutionary search. The authors hypothesize that this approach can lead to global generalization and prove that some EMs are latent-universal, capable of realizing any partial computable function. While demonstrating that small-scale EMs can extrapolate on arithmetic functions and support adaptation, the paper acknowledges their current limitations and positions EMs as a framework to broaden ML design beyond differentiable feed-forward networks. AI

IMPACT This research proposes a new framework for machine learning that could expand design possibilities beyond current differentiable models.

RANK_REASON The cluster contains a research paper detailing a new machine learning paradigm.

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Emergent Models: New ML paradigm uses simple systems for intelligence

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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard, James Wiles, Akshaj Devireddy ·

    Emergent Models: Intelligence from Tiny Substrates

    arXiv:2608.14019v1 Announce Type: cross Abstract: Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the learning of a closed-form input-output map but as the emergence, w…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Akshaj Devireddy ·

    Emergent Models: Intelligence from Tiny Substrates

    Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the learning of a closed-form input-output map but as the emergence, within simple dynamical systems, of computational b…

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