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New framework models causal equilibria in feedback systems

This paper introduces the Equilibrium Causal Game (ECG) framework, which integrates game theory with causal modeling to analyze systems with feedback loops, such as power grids or markets. The ECG framework allows for the study of interventions and equilibrium selection within these complex systems. The research demonstrates that while ECG-separation is sound, certain conditions like unknown sensing and non-Gaussianity can lead to incomplete identification of causal states, with specific requirements for identifying interactions and sensing mechanisms. AI

RANK_REASON The item is a research paper detailing a new framework for causal inference. [lever_c_demoted from research: ic=1 ai=0.4]

Read on Hugging Face Daily Papers →

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New framework models causal equilibria in feedback systems

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The item is a research paper detailing a new framework for causal inference. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States

    Power grids, markets, and interacting populations, settle into feedback driven equilibria observed through unknown sensors. Our Equilibrium Causal Game (ECG) joins a game to its cyclic causal model, hidden inputs, sensor map, and rules for interventions and equilibrium selection;…