The project investigates a new relationship between green space and the built environment in London. In order to do so, it deploys biological and artificial intelligence in algorithmic form.

A landscape network system holding the built environment was regenerated to bridge the gap between human and non-human, seeing both as the same entity. Slime Mould is a non-human creature with biological intelligence that can optimise its shape to a network system by searching for food in a geometric space, and plays an important role in the design of inclusive networks. By this property of slime mould, potential nodes determined by population density and green space rate data were seen as food resources, the landscape network was regenerated by bio-computational simulation, then being converted to a new urban morphology by machine learning algorithm.

Urban design generated by biological and artificial intelligence could feed the basic data back into the ecosystem, replacing human-centered urban design methods, thereby blurring the boundary between built environment and landscape. Architecture is generated by nature instead of humans, thus enhancing the sustainable development capacity of the urban ecosystem.