Associating Principles Of Architectural And Natural Form Generation Through Computational Models

The contemporary approach towards architecture is an outcome of cross-fertilization of ideas between computation and biology. Computation, as an interface, instructs analyzing, understanding and reinterpreting the informal structure of natural organizations (such as system, information flow, and process through time) for artificial form generation. Consequently, with the computational theory we are going through a 'rethinking about our environment and restructuring its systems' epoch where processes, relations, and dependencies are major concern for reconsidering and comprehending our environment. This paper will consider computation as transcoding and nature as a model that present possibilities for extracting knowledge from existing facts and its reinterpretation and application in built environment. Accordingly, through this search for a revised/remodeled architecture, which is defined by and applied through computational mediums, natural form generation turns into a major lead to configure the information flow, and to understand complexity of dynamic systems