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The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
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The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
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The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
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Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
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Social Foundations of Self II: The Generalized Other01:20

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According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
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Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
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Circuito explicado: Cómo realiza un transformador la generalización composicional

Cheng Tang1, Brenden Lake2, Mehrdad Jazayeri1,3

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

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|February 4, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores identificaron e interpretaron el circuito de red neuronal que permite la generalización composicional en los transformadores. Este circuito utiliza representaciones de posición e identidad para la composición de funciones, ofreciendo información sobre el razonamiento simbólico en la IA.

Palabras clave:
generalización composicionalcircuitos de transformadoresrazonamiento simbólicocomposición de funcionesredes neuronales

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Área de la Ciencia:

  • Inteligencia Artificial
  • Ciencia Cognitiva
  • Aprendizaje Automático

Sus antecedentes:

  • La generalización composicional es clave para la cognición humana pero poco comprendida en las redes neuronales.
  • El trabajo previo demostró que los transformadores pueden lograr una generalización composicional simple en tareas de secuencias.

Objetivo del estudio:

  • Interpretar de manera mecanicista el circuito responsable de la generalización composicional en los modelos transformadores.
  • Comprender cómo las redes neuronales logran la composición simbólica.

Principales métodos:

  • Se utilizaron ablaciones causales para aislar el circuito neuronal específico.
  • Se realizaron ediciones precisas de activación para analizar el comportamiento del circuito.
  • Se investigaron representaciones desvinculadas de la posición y la identidad del token.

Principales resultados:

  • Se identificó un circuito que realiza la composición de funciones.
  • El circuito utiliza una regla general de reasignación de tokens basada en la posición y la identidad, no en la semántica específica de la función.
  • Las ediciones de activación dirigieron predeciblemente las salidas del modelo.

Conclusiones:

  • El circuito identificado proporciona una explicación mecanicista para la generalización composicional en los transformadores.
  • Este hallazgo ofrece hipótesis comprobables para mecanismos similares en modelos de IA a gran escala.
  • La comprensión de estos circuitos puede avanzar tanto en la investigación de IA como en la ciencia cognitiva.