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System Design Document: Agentic CEL Rule Engine

Status: Draft v1.0 Author: Sensemesh Architecture Team Context: Event-Driven Architecture, gRPC/Protobuf, Go, NATS

1. Executive Summary

»» El agente secreto (2025) Pe𝘭𝘪𝘤ula 𝙾𝚗line

El agente secreto 𝐏𝚎li𝚌𝐮l𝚊 𝙾𝐧li𝚗𝚎 es un thriller dramático e histórico con tintes neo‑noir que explora el miedo, la represión y la lucha por la libertad en un período oscuro de Brasil. Ambientada en 1977, durante la dictadura militar, la película sigue a Marcelo (interpretado por Wagner Moura), un profesor universitario y experto en tecnología que regresa a Recife con la esperanza de reencontrarse con su hijo menor, solo para descubrir que la ciudad está lejos de ser un refugio seguro.

La narrativa combina suspense, política y acción contenida, mostrando cómo Marcelo debe ocultarse, cambiar de identidad y buscar ayuda en un entorno marcado por la vigilancia, la paranoia y la violencia institucional. A través de personajes que incluyen activistas, fugitivos y aliados inesperados, la historia revela

Adaptive Reinforcement Learning for Dynamic Task Allocation in Multi-Agent Cooperative Robotic Construction

Abstract: This paper proposes a novel reinforcement learning (RL) framework for dynamic task allocation in multi-agent cooperative robotic construction. Existing task allocation approaches often rely on pre-defined strategies or centralized planners, which struggle to adapt to unforeseen circumstances and exhibit limited scalability. Our approach, Adaptive Reinforcement Learning for Dynamic Task Allocation (ARL-DTA), utilizes decentralized agents trained through a multi-agent RL paradigm to dynamically assign tasks, optimizing for efficiency, robustness, and adaptability in complex robotic construction environments. The system leverages a hierarchical reward structure and a novel state representation encompassing both local agent observations and global construction progress to facilitate effective collaborative decision-making. Through comprehensive simulations, we demonstrate ARL-DTA's superior

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	Log uploaded on Tuesday, February 3, 2026, 2:35:21 AM
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