本課程「演化式設計：AI啟發的空間設計思考」旨在引導學生理解 AI 對當代空間設計方法所帶來的轉變。課程不將 AI 視為單純的圖像生成或效率工具，而是將其理解為一種能夠刺激設計變異、擴展空間想像、建立比較判斷，並推動設計持續迭代的思考媒介。透過「演化式設計」的概念，學生將學習如何從設計問題出發，透過變異、選擇、適應、突變與再生成等過程，建立一套可被追蹤、分析與修正的空間設計方法。

課程目標包括：第一，培養學生對 AI 生成內容的批判性閱讀能力，理解其在形式、空間、敘事與表現上的可能性與限制；第二，訓練學生將模糊的設計興趣轉化為清楚的設計問題、條件設定與操作參數；第三，協助學生建立多版本設計發展的能力，並能說明不同方案之間的差異、選擇標準與淘汰理由；第四，引導學生將 AI 生成的圖像、文字或概念，轉譯為具有建築空間邏輯的平面、剖面、模型與設計系統；第五，使學生能夠整理並呈現完整的設計演化歷程，理解設計不是單一結果，而是一連串判斷、修正與整合的過程。

課程內容將從演化式設計的基本觀念開始，討論自然演化中的變異、選擇、適應與突變如何轉化為空間設計方法。學生將練習使用 AI 協助發想設計問題、建立 prompt matrix、產生多種空間變異版本，並進一步透過設計者自身的判斷，建立評估標準與發展方向。課程也將討論 AI 圖像中常見的假空間、假結構與形式迷思，訓練學生不只是觀看生成結果，而是能分析其空間潛力，並將其轉化為可被理解與討論的建築設計。

在操作上，本課程將包含設計問題設定、AI 輔助發想、案例分析、空間變異生成、方案比較、圖像轉譯、空間原型製作、基地或情境適應、設計演化圖譜整理，以及期末空間設計提案。學生需在課程過程中持續記錄 AI 參與設計的方式，包含提示語設定、生成結果、選擇原因、人工修正與設計判斷。期末成果不僅呈現最終設計方案，也須呈現其如何從最初的問題意識，經過多次生成、比較、淘汰與整合後逐步形成。

本課程強調 AI 時代中設計者的主動性與責任。AI 可以快速產生大量可能性，但真正的設計能力仍在於提出問題、設定條件、辨識差異、判斷價值與完成空間轉譯。透過本課程，學生將學習如何在 AI 與設計思考之間建立有意識的工作流程，並發展出具有空間品質、方法意識與批判態度的設計提案。

This course "Evolutionary Design: Thinking about Space Design Inspired by AI" aims to guide students to understand the changes brought about by AI on contemporary space design methods. The course does not view AI as a simple image generation or efficiency tool, but as a thinking medium that can stimulate design variation, expand spatial imagination, establish comparative judgment, and promote continuous design iteration. Through the concept of "evolutionary design", students will learn how to start from design problems and establish a set of spatial design methods that can be tracked, analyzed and modified through processes such as variation, selection, adaptation, mutation and regeneration.

The objectives of the course include: first, to cultivate students' critical reading ability of AI-generated content and understand its possibilities and limitations in form, space, narrative and performance; second, to train students to transform vague design interests into clear design problems, condition settings and operating parameters; third, to assist students in establishing the ability to develop multiple versions of design, and to explain the differences between different solutions, selection criteria and reasons for elimination; fourth, to guide students to use AI The generated images, words or concepts are translated into planes, sections, models and design systems with architectural spatial logic; fifth, students are able to organize and present the complete design evolution process and understand that design is not a single result, but a series of judgments, revisions and integration processes.

The course content will start from the basic concepts of evolutionary design and discuss how variation, selection, adaptation and mutation in natural evolution can be transformed into spatial design methods. Students will practice using AI to help generate design problems, establish prompt matrices, generate multiple spatial variation versions, and further establish evaluation criteria and development directions through the designer's own judgment. The course will also discuss the common myths of false space, false structure and form in AI images, training students not just to watch the generated results, but to analyze their spatial potential and transform them into architectural designs that can be understood and discussed.

Operationally, this course will include design problem setting, AI-assisted ideation, case analysis, spatial variation generation, scheme comparison, image translation, spatial prototyping, site or situation adaptation, design evolution map compilation, and final spatial design proposal. Students need to continue to record how AI participates in design during the course, including prompt setting, generated results, reasons for selection, manual corrections, and design judgments. The final results not only present the final design plan, but also how it was gradually formed from the initial awareness of the problem after multiple generations of generation, comparison, elimination and integration.

This course emphasizes the initiative and responsibility of designers in the AI ​​era. AI can quickly generate a large number of possibilities, but the real design ability still lies in asking questions, setting conditions, identifying differences, judging value and completing spatial translation. Through this course, students will learn how to establish a conscious workflow between AI and design thinking and develop design proposals with spatial quality, methodological awareness and critical attitude.

在AI技術重塑創作邏輯的時代，設計師如何與機器共同構想空間未來？本課程從設計演化的觀點出發，結合建築、環境景觀、運算設計與人工智慧，鼓勵學生跳脫傳統形式思維，實驗資料驅動、迭代生成與運算邏輯對空間構成的影響。課程適合對設計探索結合人文有興趣的學生修習，強調跨域思考與創新實踐，打造面向未來的空間語言。

In an era where AI technology is reshaping the logic of creation, how can designers and machines jointly envision the future of space? Starting from the perspective of design evolution, this course combines architecture, environmental landscape, computational design and artificial intelligence to encourage students to break away from traditional formal thinking and experiment with the impact of data-driven, iterative generation and computational logic on spatial composition. The course is suitable for students who are interested in design exploration combined with humanities. It emphasizes cross-domain thinking and innovative practice to create a future-oriented spatial language.

1. John Frazer，《演化式建築》
An Evolutionary Architecture, Architectural Association Publications, 1995.
本書為演化式建築設計的重要基礎文獻，討論建築如何借用自然演化中的變異、選擇、適應與生成邏輯，發展出具有生命性與持續變化特質的設計系統。本課程將以此作為理解「演化式設計」概念的主要參考。
2. Kostas Terzidis，《演算法建築》
Algorithmic Architecture, Routledge, 2006.
本書討論演算法如何成為建築設計中的思考方法，而不只是電腦技術或形式操作。課程將參考其對規則、程序、運算與設計生成之討論，協助學生理解如何將設計條件轉化為可操作、可迭代的設計流程。
3. Mario Carpo，《第二次數位轉向：超越智慧的設計》
The Second Digital Turn: Design Beyond Intelligence, MIT Press, 2017.
本書討論數位工具如何從輔助製圖與製造，進一步轉向影響設計判斷、生成邏輯與作者角色的媒介。課程將以此作為理解 AI 時代中設計者、工具與智慧系統關係的重要參考。
4. Neil Leach，《人工智慧時代的建築》
Architecture in the Age of Artificial Intelligence: An Introduction to AI for Architects, Bloomsbury, 2025.
本書從建築專業角度介紹 AI 對設計流程、創造力、實務工作與建築教育的影響。本課程將參考其中關於 AI 作為設計協作者、生成工具與批判對象的相關討論。
5. Imdat As、Prithwish Basu 編，《人工智慧與建築》
The Routledge Companion to Artificial Intelligence in Architecture, Routledge, 2021.
本書彙整 AI 在建築設計、空間規劃、機器學習、研究與實務案例中的多元應用，可作為學生理解 AI 與建築設計關係的延伸參考。課程將選讀與生成式設計、空間分析、設計輔助及 AI 方法相關之章節。

1. John Frazer, "Evolutionary Architecture"
An Evolutionary Architecture, Architectural Association Publications, 1995.
This book is an important basic document on evolutionary architectural design. It discusses how architecture can borrow the logic of variation, selection, adaptation and generation in natural evolution to develop a design system with vitality and continuous change. This course will use this as the main reference for understanding the concept of "evolutionary design".
2. Kostas Terzidis, "Algorithmic Architecture"
Algorithmic Architecture, Routledge, 2006.
This book discusses how algorithms can become a way of thinking in architectural design, rather than just computer technology or formal manipulation. The course will refer to its discussion of rules, procedures, operations and design generation to help students understand how to transform design conditions into an operable and iterable design process.
3. Mario Carpo, "The Second Digital Turn: Design Beyond Intelligence"
The Second Digital Turn: Design Beyond Intelligence, MIT Press, 2017.
This book discusses how digital tools move from aiding drawing and manufacturing to media that influence design judgment, generative logic, and the role of the author. The course will use this as an important reference for understanding the relationship between designers, tools and intelligent systems in the AI ​​era.
4. Neil Leach, "Architecture in the Age of Artificial Intelligence"
Architecture in the Age of Artificial Intelligence: An Introduction to AI for Architects, Bloomsbury, 2025.
This book introduces the impact of AI on the design process, creativity, practical work and architectural education from the perspective of the architectural profession. This course will draw on its discussion of AI as a design collaborator, generative tool, and critical object.
5. Imdat As, Prithwish Basu, eds., "Artificial Intelligence and Architecture"
The Routledge Companion to Artificial Intelligence in Architecture, Routledge, 2021.
This book compiles the diverse applications of AI in architectural design, space planning, machine learning, research and practical cases, and can be used as an extended reference for students to understand the relationship between AI and architectural design. The course will select chapters related to generative design, spatial analysis, design assistance and AI methods.