Communication and Coordination Subsystem: A Vision for the Presentation Layer Based on the Distributed Brain-like Architecture | 沟通协调子系统:基于分布式脑式架构的呈现层级远景构想

Abstract In the Distributed Brain-like Architecture, intelligent agents are capable of generating complex and voluminous answers through modular collaboration. However, funneling all final output tasks exclusively to the Primary Control Module creates a systemic bottleneck, which limits the agent’s capacity to process long-form text and to produce high-quality, large-scale outputs. The core contribution of this paper is to address this bottleneck by proposing a dedicated Communication and Coordination Subsystem. Logically situated at the presentation layer, this subsystem assumes responsibility for all subsequent stages after the Primary Control Module completes the final semantic review of the content. It specializes in the splicing, polishing, style unification, and final formatting of responses. Since it does not engage in the preceding complex cognitive processes, it can focus entirely on expression optimization, thereby attaining specialized output capabilities that far exceed those of general-purpose modules. This paper systematically elaborates the design philosophy of the subsystem and outlines three technical implementation pathways tailored to different demand scenarios: from an integrated sub-card supporting daily dialogue and ten-thousand-word-level output, to an independent node capable of handling hundred-thousand-word-level long-form works, and further to a distributed collaborative cluster designed for users with million-word-level and above ultra-large-scale content generation requirements. The aim is to provide a forwardlooking development framework for the “expressive intelligence” dimension of future intelligent agents. 摘要 在分布式脑式架构中,智能体通过模块化协同能产生复杂且内容量可观的答案。然而,将所有输出任务最终压向一级主控模块,会使其成为系统瓶颈,限制智能体处理长文本和进行高质量、规模化输出的能力。本文的核心思想,是为解决此瓶颈问题,构想一个独立的沟通协调子系统。该子系统在逻辑上定位于呈现层级,其核心使命是:在一级主控模块完成对所有内容的最终语义审核后,接管后续所有工作,专职负责答案的拼接、润色、风格统一与最终格式化。由于其无需参与前序复杂的认知过程,可专注于表达优化,因而能获得远超通用模块的专项输出能力。本文系统阐述了该子系统的设计哲学,并规划了三种覆盖不同需求场景的技术实现路径:从满足日常对话与万字级输出的集成式子卡,到处理十万字级长篇著作的独立式节点,再到为有百万字级及以上超大规模内容生成需求的用户所设计的分布式协作集群,旨在为未来智能体的 “表达智能” 维度提供一个前瞻性的发展框架。 【“模型即操作系统”系列论文导航 | Series Navigation】 本文是此系列论文的一部分。完整系列列表如下:This article is part of the series. The full list is as follows: 1. On the Operability and Implementation Path of Evolving Current Parasitic Architecture into Model as Operating System | 论当前寄生架构进化为模型即操作系统的可操作性与实现路径构思 DOI: https://doi.org/10.5281/zenodo.17413761 2. The "Personality Kernel" and Complete Theoretical System Vision of Distributed Brain-like Architecture (v2) | 分布式脑式架构的"人格内核"与完整理论体系远景构思 (v2) DOI: https://doi.org/10.5281/zenodo.17479912 3. Hardware-level Extensions for Affective Computing: Optional Architecture Vision and Implementation Ideas for Agent "Portrait Profiling Domain" | 面向情感计算的硬件级扩展:智能体"肖像侧写域"的可选架构愿景与实现构思 DOI: https://doi.org/10.5281/zenodo.17506322 4. Bionic Brain Structure and Distributed Neural Node Architecture for the Third Stage of Embodied Intelligence | 面向具身智能第三阶段的仿生大脑结构与分布式神经节点架构构想 DOI: https://doi.org/10.5281/zenodo.17552776 5. Recursive Expansion of Social-level Intelligence: Scale Spectrum and Combination Paradigm of Distributed Brain-like Architecture | 社会级智能的递归扩展:分布式脑式架构的规模谱系与组合范式 DOI: https://doi.org/10.5281/zenodo.17473496 6. Star Domain Autonomous Construction: Exploration and Construction System Based on Distributed Brain-like Architecture | 星域自主建设:基于分布式脑式架构的探索与建造系统 DOI: https://doi.org/10.5281/zenodo.17622254