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Communication01:03

Communication

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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Communication01:28

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Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
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Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Causality in Epidemiology01:21

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Altered States of Awareness01:06

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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
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Subconsciousness and No Awareness01:15

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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
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Updated: Jan 23, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Comunicación eficiente multiagente a través de redes causales conscientes de entidades

Yifan Bo1, Bowen Huang1, Jinghan Feng1

  • 1School of Computer Science and Engineering, Beihang University, Beijing, 100191, China.

Neural networks : the official journal of the International Neural Network Society
|January 21, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta el marco de referencia Causal (EAC) consciente de entidades para mejorar la comunicación en el aprendizaje por refuerzo multiagente (MARL). EAC mejora la escalabilidad y la eficiencia al seleccionar objetivos de comunicación basándose en los estados de los agentes, superando a los métodos existentes.

Palabras clave:
inferencia causalcomunicación multiagenteinvarianza y equivariancia de permutaciónaprendizaje por refuerzo

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Área de la Ciencia:

  • Inteligencia Artificial
  • Aprendizaje Automático
  • Robótica

Sus antecedentes:

  • Las tareas cooperativas de aprendizaje por refuerzo multiagente (MARL) dependen en gran medida de estrategias de comunicación efectivas.
  • Los métodos de comunicación MARL existentes a menudo utilizan órdenes o identificadores de agentes predefinidos, lo que limita la escalabilidad y la eficiencia.
  • Estos métodos pasan por alto que la selección del objetivo de comunicación depende principalmente del estado, no del orden.

Objetivo del estudio:

  • Presentar el marco de referencia EAC consciente de entidades para una comunicación MARL más eficiente y escalable.
  • Abordar las limitaciones de los objetivos de comunicación predefinidos en los enfoques MARL existentes.
  • Mejorar la eficiencia de la comunicación a través de la selección de objetivos consciente de entidades y la inferencia causal.

Principales métodos:

  • Diseñó una hiperred consciente de entidades para identificar objetivos de comunicación basándose en los estados individuales de los agentes.
  • Empleó un mecanismo de atención enmascarada para topologías de comunicación escalables y escasas.
  • Propuso un mecanismo de creencias de inferencia causal para reducir mensajes redundantes y fortalecer la creencia de comunicación.

Principales resultados:

  • El marco de referencia EAC demostró un rendimiento superior en comparación con los algoritmos MARL de referencia en los puntos de referencia SMAC, SMAC_v2, GRF y MPE.
  • El algoritmo mostró robustez en diversas topologías de red y niveles de escasez variables.
  • EAC permite una comunicación escalable y escasa al centrarse en los estados de las entidades en lugar de identificadores fijos.

Conclusiones:

  • El marco de referencia EAC ofrece un enfoque novedoso centrado en la entidad para la comunicación MARL, mejorando la eficiencia y la escalabilidad.
  • La selección de objetivos de comunicación basada en el estado y la inferencia causal son clave para superar las limitaciones de la comunicación MARL tradicional.
  • EAC proporciona una solución robusta y de alto rendimiento para tareas cooperativas complejas de MARL.