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New energy-based mechanism unifies compositional behavior in AI and biology

Researchers have introduced a novel energy-based mechanism that unifies the principles behind compositional behavior in both biological and artificial systems. This mechanism, derived from a single variational principle, naturally generates softmax gating and converges as an energy-based dynamical system. It can be implemented using recurrent neural networks with context-dependent interactions, demonstrating its applicability across various domains including collective behavior, human decision-making, and layered control. AI

IMPACT Provides a unified theoretical framework for designing more flexible and adaptive artificial agents.

RANK_REASON The cluster contains an academic paper detailing a new mechanism for compositional behavior. [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 energy-based mechanism unifies compositional behavior in AI and biology

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The cluster contains an academic paper detailing a new mechanism for compositional behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Francesca Rossi, Veronica Centorrino, Francesco Bullo, Giovanni Russo ·

    An Energy-Based Mechanism for Compositional Behavior

    arXiv:2512.04745v4 Announce Type: replace-cross Abstract: Flexible intelligence relies on the ability to reuse previously acquired behaviors and combine them differently as circumstances change. In biological and artificial systems, this ability is often attributed to gating mech…