| 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 |
| 相關次數: | 點閱:8 下載:0 |
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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.
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