Arch. Karolína Kotnour, Czech Technical University in Prague (CZ)
Abstract: This research proposes the Theory of Evolution for Architectural Intelligent Adaptive Systems. The computational architectural language generates intelligent architectural structures that achieve balanced environmental conditions for individuals and communities based on their space experience, sensing and behaviour. The intelligence is encoded in a script of an algorithms of neural networks models that are capable of rewriting existing code protocols, and therefore actively forward demands on architecture for effective and dynamic adaptability. The major challenge faced by Architectural Intelligence is to develop agents that can learn to perform many different tasks and learn with the little domain-specific knowledge in real-time.
Hyper NEAT for Architectural Intelligence
Hyper NEAT is a generative incoming that continuously evolved ANN with principles of NEAT, NeuroEvolution of Augmented Topologies. The origin of life itself can be seen as a meta-evolutionary event. The combination of ANN and EA is called NeuroEvolution (NE), where an evolution evolves a population of ANN. This research proposes the Theory of Evolution for Architectural Intelligent Adaptive Systems.The Architectural Intelligence is a set of evolutionary mechanisms that has capability to adapt architectural organism to the dynamical environmental or behavioural situation. The Architectural Intelligence is both adapting, changing and accommodating the dynamic of the environment. The Meta-Learning approach along with the NeuroEvolution algorithms of the large scale neural networks provide effective intelligent model for a continuous adaptation in a dynamic complex environments. Neural Architecture Search (NAS) is the process of automating the network engineering. The automatic prototyping and design of neural networks is based on NeuroEvolution that allies evolutionary algorithms to evolve network weights and topology.
Short CV: artist/architect/director/researcher Karolína Kotnour is an architect and artist dedicated to an architectural spatial and audio-visual production. She is focused on creating future evolving architecture by transforming methods from neuroscience, machine learning, immersive and sound spatialization research. In her projects and installations, she connects and synchronizes architectural and sound structures. She claims ‘the reciprocal confrontation of sound waves as is a liberated contour of space’. She interests in ‘space as evolving over time, in parallels and mutual confrontations and reflections’. A significant role plays human acoustic presence and performance. She observes extreme space phenomena e.g.: „acoustic black holes“ and transformation of sound vibrations in their surroundings. Karolína is an architect with international experience on projects of various scales and environmental contexts and cultural background. She is Ph.D. research fellow at FLOW studio at Faculty of Architecture CTU in Prague.