This research proposes the design of an adaptive system for the street environment from a pedestrian perspective. The purpose of the research is to create micro-interactions in the street environment to reach an adaptive street ecology. Adaptive street ecology is defined as a system that shapes itself by understanding its agents, pedestrians, and their interactions. This system is generated by various processes, including bottom-up analysis of pedestrian interactions through observation methods and the use of artificial societies, and designing responsive pedestrian interventions. Through the process, this research produces both an artificial model for understanding pedestrian interactions and a testbed for pedestrian interventions.

The practice is carried out in both real and virtual environments with both real and virtual agents. Real agents have contributed to the generation of virtual ones, while the virtual ones have helped to understand the real ones. The process of creating virtual agents and understanding real agents followed a circular loop with a number of inputs, outputs and feedback- this circular relationship between the real and artificial ground, framed through cybernetics.

In this research, the street environment is described as a living ecology because of its interactive agents and their connection with the street. The creation of adaptive street ecology is focused on creating micro-interactions. These micro-interactions aimed to form a responsive behaviour based on temporal and spatial situations occurring in the street. The implementation of micro-interactions creates ephemeral responses to the agents' spatial and temporal behaviours, while the system forms a level of adaptivity in the long term. The micro-interactions can also be called responsive synthetic organisms- or "autonomous reactive entities" according to Goumopoulos et al. (2008), which respond to the spatial and temporal events and are governed by local interactions which emerge from the awareness of the system.