Traditional architectural simulations (e.g. Computational Fluid Dynamics, evacuation, structural analysis) model elements as deterministic physics-based "particles" rather than cognitive "agents". To bridge this, we introduce \textbf{Agentic Environmental Simulations}, where Large Multimodal generative models actively predict the next state of spatial environments based on semantic expectation. Drawing on examples from accessibility-oriented AR pipelines and multimodal digital twins, we propose a shift from chronological time-steps to Episodic Spatial Reasoning, where simulations advance through meaningful, surprisal-triggered events. Within this framework we posit AI hallucinations as diagnostic tools. By formalizing the \textbf{Cognitive Friction} ($C_f$) it is possible to reveal "Phantom Affordances", i.e. semiotic ambiguities in built space. Finally, we challenge current HCI paradigms by treating environments as dynamic cognitive partners and propose a human-centered framework of cognitive orchestration for designing AI-driven simulations that preserve autonomy, affective clarity, and cognitive integrity.

翻译：传统的建筑模拟（例如计算流体动力学、疏散模拟、结构分析）将元素建模为基于确定性物理的“粒子”，而非认知“智能体”。为弥合这一鸿沟，我们引入了**智能体环境模拟**，其中大型多模态生成模型基于语义预期主动预测空间环境的下一个状态。借鉴面向无障碍的增强现实流程和多模态数字孪生的实例，我们提出从按时间步推进转向**情景空间推理**，即模拟通过有意义、由意外触发的**事件**来推进。在此框架内，我们将人工智能幻觉视为诊断工具。通过形式化**认知摩擦** ($C_f$)，可以揭示“幻影可供性”，即建成环境中的符号学模糊性。最后，我们通过将环境视为动态的认知伙伴来挑战当前的人机交互范式，并提出一个以人为中心的认知协调框架，用于设计能够保持自主性、情感清晰度和认知完整性的AI驱动模拟。