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New 'Atom as an Agent' framework uses predictive coding to explain emergent order in physics

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new framework called "Atom as an Agent" (AaaA) that applies the principles of collective predictive coding (CPC) to physics. This approach treats atoms as agents that infer and predict each other's behavior, leading to the emergence of macroscopic order parameters from microscopic interactions. The study demonstrates this concept using classical spin systems, including Ising models and the Sherrington--Kirkpatrick spin-glass model, showing that AaaA can automatically derive order parameters and emergent potentials characteristic of Landau potentials, purely from observed spin configurations. AI

IMPACT This framework offers a novel, data-driven approach to understanding emergent phenomena in physics, potentially influencing how AI models learn complex systems.

RANK_REASON Academic paper detailing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'Atom as an Agent' framework uses predictive coding to explain emergent order in physics

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Academic paper detailing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Koji Hashimoto, Tadahiro Taniguchi ·

    Atom as an Agent: Emergent Order by Collective Predictive Coding

    arXiv:2610.36673v1 Announce Type: cross Abstract: What is the intrinsic reason of emergence of macroscopic order parameter out of microscopic systems? In this article, we apply to physics the collective predictive coding (CPC), the theory of language/symbol emergence. As our lang…

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