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研究生: 黃靖雅
Huang, Ching-Ya
論文名稱: AI 狂想曲:建構後人類世的城市生命有機體
AI Speculation: Constructing the City as a Living Organism in the Post-Anthropocene
指導教授: 鄭泰昇
Jeng, Tay-Sheng
宋立文
Sung, Li-Wen
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 建築學系
Department of Architecture
論文出版年: 2025
畢業學年度: 114
語文別: 中文
論文頁數: 165
中文關鍵詞: 城市演化演算法治理推測設計全自駕交通AI 協作
外文關鍵詞: Urban Evolution, Algorithmic Governance, Speculative Design, Fully Autonomous Transportation, Human–AI Collaboration
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  • 面對當代都市在技術轉型下的整體系統性危機,建構一個以人工智慧為核心驅動力的城市生命有機體模型勢在必行。隨著自動駕駛與演算法治理的興起,若都市規劃依然停留於優化交通運行的技術層面,將難以突破既有「汽車文明」(automobility)所導致的空間破碎與生態斷裂之結構限制。本研究主張應將視角從單一載具技術,擴展至整體都市代謝系統的重構,進而重新定義人、自然與科技的共生關係。
    為回應此缺口,本研究以 Arup 提出的《2050 Scenarios – Four Plausible Futures》為基礎,試圖在既有願景上挑戰並補充其未曾預見的技術與倫理轉向。以「後人類世」(Post-Anthropocene)為世界觀,將城市視為一個具感知、代謝與調節能力的生命體,創建一座全新的「城市生命有機體」模型。AI 扮演城市數位神經系統的角色,透過對交通、物流與能源流的動態協調,使原本佔據地面層的基礎設施重新配置。從而釋放地面空間,回歸以人與自然為優先的公共生態層次,使地面層重新成為生活、交往與自然共存的場域。
    在設計方法上,採用「推測設計」(Speculative Deisgn)進行操作,以一個三代家庭為敘事軸線,建構八個「敘事原型」,模擬從單元住宅、街道中介空間至城市基礎設施的跨尺度場景,同時敘說 AI 系統如何在城市日常生活中運作。在此過程中 AI 作為研究共構的「思辨代理」,與研究者共同撰寫文本與創建圖像。
    整合推測設計的過程與結果後,進一步提出「雙聲敘事引擎」為設計方法,作為探勘未來空間型態與都市規劃的新途徑。透過 AI 與人的協作,預演未來城市中人與智能如何共創一套新生活模式,並指出 AI 城市的韌性並非來自全自動化的完美運行,而是建立於系統中保留的「可協商性」——亦即人類得以介入、調整與重新定義 AI 治理的可能性。促使人類在與 AI 的協作過程中,重構價值與責任的邊界,並最終將 AI 城市指向具倫理意識與共創能力的共生生命有機體。

    This study constructs a "City as a Living Organism" model driven by artificial intelligence to address the systemic crisis of contemporary cities under technological transformation. It moves beyond technical optimizations of traffic operations to reconstruct the urban metabolic system, challenging the structural limitations of spatial fragmentation and ecological rupture caused by "automobility." Grounded in the "Post-Anthropocene" worldview, the research redefines the symbiotic relationship between humans, nature, and technology. Methodologically, it employs Speculative Design and AI Collaboration to simulate how AI acts as a central nervous system coordinating traffic, logistics, and energy. The study concludes that urban resilience stems not from perfect automation, but from the system's "negotiability"—the capacity for human intervention to redefine AI governance.

    第 一 章 緒論 15 1.1 研究背景與動機 15 1.2 研究問題與缺口 17 1.3 研究目的 21 1.3.1 建構「城市生命體」之整合性都市模型 21 1.3.2 研究具體目標 23 1.3.3 發展原型 24 1.4 研究範疇與限制 26 1.5 論文架構 28 第 二 章 文獻回顧與理論框架 29 2.1. 理論基礎:推測設計作為研究方法 29 2.1.1. 推測設計時間區段 31 2.1.2. 推測設計實際運用 33 2.2 建築作為預言:不可逆趨勢的城市邏輯預演 35 2.2.1 未來城市想像作為推測設計的歷史實踐 35 2.2.2 傳統與創新的連結 41 2.3 城市規範的演變與空間治理邏輯 42 2.3.1 15分鐘城市: 生活機能的步行可及性 45 2.3.2 巴塞隆納超級街廓: 道路空間的再分配與公共化 47 2.3.3 GSDG for Cities: 數據驅動的都市設計準則 49 2.4 流動性的典範轉移:從車輛導向到演算法治理 51 2.5 前導實驗:未來城市案例的批判性分析 53 2.5.1 韓國松島:智慧城市真的是這個社會所需要的嗎? 53 2.5.2 日本豐田織城 (Woven City): 整合性系統的初步嘗試 54 2.6 核心動能:智慧交通與 AI 治理的典範轉移 57 2.6.1 Arup《2050 Scenarios》:雙軸建構的未來世界觀 57 2.6.2 研究採用 Post-Anthropocene 情境之理論合理性 60 2.7 綜合評析與研究缺口 61 第 三 章 研究設計與方法 63 3.1 研究流程 63 3.2 方法論基礎 64 3.2.1 推測設計 64 3.2.2 AI協作 65 3.2.3 系統性設計與操作框架 65 3.3 城市模型的建構與評估標準 67 第 四 章 「城市生命有機體」的建構原則與核心規則 69 4.1 核心理念:從機械城市到城市生命體 69 4.1.1 整合架構:城市生命體的物理組件 70 4.1.2 AI 作為城市的神經系統與倫理濾網 73 4.2 空間組織規則 75 4.2.1 分層化的立體城市 75 4.2.2 還路於人的地面層 78 4.2.3 模組化的建築單元 78 4.3 系統運作規則:AI × 物流 × 交通的協奏 80 4.3.1 分子化的智慧物流 80 4.3.2 絕對安全與效率的交通分配 81 4.4 社區單元規則:人本感知半徑 82 4.4.1 社區作為人本感知半徑 82 4.4.2 社區的空間組成 84 第 五 章 城市生命有機體的日常協商 85 5.1 導論:從規則到「協商 」的推演 85 5.1.1 研究方法:AI 協作與雙聲敘事系統 86 5.1.2 模板式敘事架構 87 5.1.3 敘事整體架構:三代家庭與八個協商情境 88 5.1.4 影像生成工作流:從文本到視覺原型 91 5.2 敘事原型展示:城市生命有機體的日常協商 95 5.2.1 敘事導入:艾緹亞的甦醒 95 5.2.2 故事原型:即時配送的延遲決策 98 5.3 綜合結論:協商作為韌性與設計洞察 105 第 六 章 討論與結論:與城市生命有機體的共同演化 107 6.1 研究總結:從汽車文明到 AI 城市模型的建構 107 6.2 關鍵洞察:從「敘事協商」到「系統共同演化」 108 6.3 方法論反思:AI 協作作為未來生活的預演 111 6.4 研究限制與未來展望 113 參考文獻 115 附錄 122 情境 [ A ]:拒絕共乘日 (Solitary Tax) 125 情境 [ B ]:隔牆有耳 (The Membrane) 131 情境 [ C ]:自動更新 8.3 (Auto-Update 8.3) 137 情境 [ D ]:隨選空間 (On-demand Space) 143 情境 [ F ]:借過一下 (Excuse Me) 149 情境 [ G ]:超級盃合併案 (The Super Bowl Merger) 154 情境 [ H ]:房間睡著的地方 (Where Rooms Go to Sleep) 159

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