This chapter traces the evolution of Artificial Intelligence (AI) from its conceptual origins in the 1930s to its transformative role in architecture by the 2020s. Beginning with Alan Turing’s foundational Turing Machine and the 1956 Dartmouth workshop, early AI focussed on symbolic logic, yielding pioneering systems like the Logic Theorist. The 1960s–1970s saw symbolic AI applications, such as ELIZA and expert systems, alongside architecture’s first computational design experiments, including Negroponte’s Architecture Machine Group. The 1980s expert systems boom brought knowledge-based tools to architectural design, followed by the 1990s–2000s machine learning renaissance, which introduced parametric and generative design. The 2010s deep learning revolution enabled creative AI, with GANs and diffusion models reshaping architectural visualisation. Today, AI acts as a creative collaborator, generating designs and optimising performance, prompting debates on authorship and ethics. This historical journey highlights AI’s synergy with human ingenuity, redefining architectural practice through a new paradigm of human–machine collaboration.

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Designing with Algorithms: A Historical Journey of Artificial Intelligence

  • Asterios Agkathidis,
  • Markus Hudert,
  • Carlos Medel-Vera

摘要

This chapter traces the evolution of Artificial Intelligence (AI) from its conceptual origins in the 1930s to its transformative role in architecture by the 2020s. Beginning with Alan Turing’s foundational Turing Machine and the 1956 Dartmouth workshop, early AI focussed on symbolic logic, yielding pioneering systems like the Logic Theorist. The 1960s–1970s saw symbolic AI applications, such as ELIZA and expert systems, alongside architecture’s first computational design experiments, including Negroponte’s Architecture Machine Group. The 1980s expert systems boom brought knowledge-based tools to architectural design, followed by the 1990s–2000s machine learning renaissance, which introduced parametric and generative design. The 2010s deep learning revolution enabled creative AI, with GANs and diffusion models reshaping architectural visualisation. Today, AI acts as a creative collaborator, generating designs and optimising performance, prompting debates on authorship and ethics. This historical journey highlights AI’s synergy with human ingenuity, redefining architectural practice through a new paradigm of human–machine collaboration.