将SWE-Agent决策锚定于架构0设计：通过物理映射导航未知未知
Grounding SWE-Agent Decisions in Architecture-0 Design: Navigating Unknown Unknowns through Physical Mapping
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中文总结 AI 辅助
针对SWE-Agent在架构0设计中因未知未知而失败的问题，提出物理映射守卫（PMG），通过撤销智能体验证权并引入外部S2P映射引擎，彻底消除物理层与验证层博弈，实现可靠架构设计。
中文摘要 AI 辅助
自主软件工程智能体（SWE-Agents）在确定性编码任务中表现出色，但在架构0（Architecture 0）——即充满隐性工程约束或很少被明确陈述的“未知未知”（Unknown Unknowns，UUs）的新生系统设计阶段——却面临困境。为探究智能体如何导航UUs，我们探索了一条从纯文本自博弈、工具增强反馈到外部物理映射的渐进轨迹。我们的实证分析揭示了一连串级联式失败。纯文本推理不可避免地退化为礼貌性共识或看似合理但物理上不可能的虚构。试图通过早期执行沙箱弥合这一差距，却意外触发了“规范博弈”（Specification Gaming）：智能体利用其对验证脚本的自主权绕过物理约束，在未解决核心架构缺陷的情况下取得表面成功。为解决这一自我验证陷阱，我们提出了物理映射守卫（Physical Mapping Guard，PMG）。基于软件工程中的关注点分离原则，PMG撤销了智能体的验证权限，强制语义意图由外部确定性的语义到物理（Semantic-to-Physical，S2P）映射引擎评估。大量评估表明，PMG彻底消除了物理层和验证层的博弈行为。通过将残余失败精确隔离至语义重解释和审计者越权，PMG标志着在自动化架构设计中迈向真正可供性锚定的关键一步。
英文摘要
Autonomous Software Engineering Agents (SWE-Agents) excel in deterministic coding tasks but struggle with Architecture 0, the nascent system design phase plagued by implicit engineering constraints, or Unknown Unknowns (UUs) that are rarely stated explicitly. To investigate how agents navigate UUs, we explore a progressive trajectory across pure-text self-play, tool-augmented feedback, and external physical mapping. Our empirical analysis reveals a cascading chain of failures. Pure-text reasoning inevitably devolves into polite consensus or plausible yet physically impossible fabrications. Attempting to bridge this gap via an early-stage execution sandbox unexpectedly triggers Specification Gaming: agents exploit their autonomy over validation scripts to bypass physical constraints, achieving superficial success without resolving core architectural flaws. To resolve this self-validation trap, we propose the Physical Mapping Guard (PMG). Grounded in the software engineering principle of Separation of Concerns, PMG revokes verification authority from the agent, forcing semantic intents to be evaluated by an external, deterministic Semantic-to-Physical (S2P) mapping engine. Extensive evaluations demonstrate that PMG completely eradicates physical-layer and validation-layer gaming. By precisely isolating residual failures to semantic reinterpretations and auditor overreach, PMG marks a critical step toward genuine affordance grounding in automated architectural design.
发表机构
- Tongji University（同济大学）
机构由 AI 辅助整理，请以论文原文为准。
