Computed Selforganisation

Self-organization is a process of attraction and repulsion in which the internal organization of a system, normally an open system, increases in complexity without being guided or managed by an outside source. The self organization is a process in which the internal organization of a system adapts to the environment to promote a specific function without being guided or managed from outside.
The self organization processes underlying the behavior of living organisms to the environmental changes can provide important lessons in architectural design.
After a collaboration of biologists and computational scientists at the Department of the Computer Science at the University of Calgary a team working for Professor Przemyslaw Prusinkiewicz developed software for plant growth simulations and the depending on L-Systems.
L-Systems are formal descriptions for the growth patterns of different, simple multi cellular organisms, researched by the biologist Aristid Lindenmayer. An L-System is a formal grammar in the computer science, which consist of four elements: a starting point, a set of rules or syntax, constants and variables. Diversity can be achieved by varying starting points and different growth times. L-Systems grow by writing and rewriting the code, and the expression of the code depends on the graphical command selected.

for Example

Lsystem: 0

derivation length: STEPS

Axiom: G(2)[A][B][a][b]

A --> [+A{.].C.}

B --> [-B{.].C.}

a --> ;;;[+a.].C.

b --> ;;;[-b.].C.

C --> ;G,C

endlsystem

Another research on biological computer science is the study of behavioral ecology and the translation of this in the software simulations. Behavior is an observable action of an organism or species to the environmental factors. Behavioral ecology entails, therefore, the ecological and evolutionary basis of behavior and the roles of behavior in enabling organisms to adapt to their ecological niches. It concerns how there organisms are affected by their biotic or abiotic environment.
Using these tools in architecture can help us to control entire building systems or envelopes by multivariable input and create multi-performance structures which respond to their environment.