The Potentials of the Interaction of Biomimicry and Artificial Intelligence Technology in Participatory Urban Design

Abstract

Biomimicry is a discipline that develops human-made solutions inspired by the design and function of living things in nature. This approach aims to provide innovative and effective solutions in terms of sustainability and efficiency. Artificial intelligence is a field of technology that enables computer systems to have human-like intelligence. These systems can assist humans by performing tasks such as data analysis, learning and problem solving and have great potential in solving complex problems. This paper evaluates the interaction of participatory urban design, biomimicry and artificial intelligence technologies in the field of urban planning and design. Biomimicry explores how nature-inspired designs and processes can be used in urban spaces, while AI technologies utilise analytical and predictive capabilities to improve the efficiency of urban systems. The paper discusses examples of both concepts at the urban scale and discusses the benefits that arise from bringing these stakeholders together. The use of biomimicry principles in urban planning and design contributes to issues such as sustainability, energy efficiency, efficient use of natural resources, energy and resource conservation, adaptation and resilience. Artificial intelligence technologies, on the other hand, increase efficiency while solving complex and difficult problems in urban areas with big data analytics, predictive capabilities and automated decision-making systems. In this article, a participatory process model is proposed to reveal the interaction of biomimicry and artificial intelligence technologies in urban planning and design. Increasing research in this field will contribute to the optimisation of planning processes and the realisation of sustainable development goals.

Keywords

• Cities
• Biomimicry
• Artificial Intelligence
• Participatory Urban Design
• Urban Design
• Sustainability

Katılımcı Kentsel Tasarımda Biyomimikri ve Yapay Zekâ Teknolojisi Etkileşiminin Barındırdığı Potansiyeller

Abstract

Biyomimikri, doğadaki canlıların tasarım ve işlevlerinden ilham alarak insan yapımı çözümler geliştiren bir disiplindir. Bu yaklaşım, sürdürülebilirlik ve verimlilik açısından yenilikçi ve etkili çözümler sunmayı hedefler. Yapay zeka, bilgisayar sistemlerinin insan benzeri zekaya sahip olmasını sağlayan bir teknoloji alanıdır. Bu sistemler, veri analizi, öğrenme ve problem çözme gibi görevleri gerçekleştirerek insanlara yardımcı olabilir ve karmaşık sorunları çözmede büyük potansiyele sahiptir. Bu makale, katılımcı kentsel tasarım, biyomimikri ve yapay zeka teknolojilerinin etkileşimini kentsel planlama ve tasarım alanındaki potansiyellerini değerlendirmektedir. Biyomimikri, doğadan ilham alarak yapılan tasarımların ve süreçlerin kentsel alanlarda nasıl kullanılabileceğini araştırırken, yapay zeka teknolojileri ise kentsel sistemlerin verimliliğini artırmak için analitik ve öngörü yeteneklerini kullanır. Makalede iki kavram özelinde kentsel ölçekte yapılmış örnekler tartışılmakta ve bu paydaşların bir araya gelmesinden kaynaklanan faydalar ele alınmaktadır. Biyomimikri prensiplerinin kentsel planlama ve tasarımda kullanılması, sürdürülebilirlik, enerji verimliliği, doğal kaynakların etkin kullanımı, enerji ve kaynak tasarrufu, adaptasyon ve dayanıklılık gibi konulara katkı sağlar. Yapay zeka teknolojileri ise büyük veri analitiği, öngörü yetenekleri ve otomatik karar verme sistemleriyle kentsel alanlarda karmaşık ve zor problemleri çözerken verimlilik artışı sağlar. Bu çalışma kapsamında, biyomimikri ve yapay zeka teknolojilerinin kentsel planlama ve tasarım alanındaki etkileşiminin ortaya çıkarılmasına yönelik katılımcı bir süreç modeli önerilmektedir. Bu alanda sürdürülen araştırmaların artması planlama süreçlerinin optimizasyonuna ve sürdürülebilir kalkınma hedeflerinin karşılanmasına katkı sağlayacaktır.

Keywords

• Kentler
• Biomimikri
• Yapay zeka
• Katılımcı Kentsel tasarım
• Kentsel tasarım
• Sürdürülebilirlik

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