Details of proposed research
I propose to work in the field of generative architectural design, exploring the urban environment using artificial perception. I hope that my work brings theoretical understanding of space into practical design tasks.
The proposed study rests upon three hypotheses:
- Studies from various authors (e.g. Gibson, 1979; Ittelson, 1973) suggest that some qualities of space are capable of triggering certain conduct, for instance affecting navigational decisions of human beings. My task would be to find out the nature of such spatial characteristics and to expose how these qualities can contribute to contemporary design routines.
- The complexity of large-scale architectural tasks can be controlled efficiently using simulations and predictive modelling.
- Lastly and perhaps most importantly, environment is a consequence but also a stimulus and a constraint of social behaviour.
Social systems are in constant interaction with their environment. Simulating the system's behaviour could greatly help us to predict the consequences that our design decisions would cause. According to many theorists in cybernetics (e.g. Forrester, 1975; Skyttner, L., 1996), computer simulations provide practical help tackling complex problems associated with systems.
The way individual units of a social system perceive their environment influences directly their behaviour and, consequently, the way they change this environment. Therefore, artificial cognition (Pfeifer, R., Scheier, C. 2001) is the focal point of proposed research.
Perception of space is generally involved in design processes implicitly only via participation of the human designer. My research tries to introduce computational perception as a viable concept into architectural practice.