The synthesis of 3D scenes is a very complicated task in computer graphics. In general, there is a lack of systems that would enable users to utilise aesthetic aspects during the early stages of scene synthesis. The synthesis of aesthetic character of a scene is a complex and intrinsic problem in many design domains. In this chapter, we report a research project that supports the hypothesis that it is possible to encode aesthetic intent within a Declarative design environment in order to aid 3D scene synthesis. The aesthetic intent will have the form of stylistic principles. The aim of this project is to provide designers with a set of solutions, which are most adaptive to their aesthetic intent, in our case stylistic criteria. In order to achieve this aim we define the following objectives. First, the desired stylistic criteria are encoded. Second, they are applied to the Declarative design cycle with the aid of an evolutionary algorithm. The resulting system focuses to aid designers during the early phase of design of 3D scenes. In order to accomplish the aforementioned objectives, within the declarative modelling paradigm we study a methodology in the frame of aesthetic measures and evolutionary algorithms. Such methodology implies the development of a prototype evolutionary declarative design system for the emergence of scenes. The development is made according the following steps. First, we define a modelling scheme of the stylistic intent. Second, we introduce a new generative technique within the Declarative Modelling approach, an evolutionary algorithm for the solution generation. In this way, the designer can introduce a personal style and/or use a style in order to generate solutions adapted to that style. As a particular area of interest, we consider the 3D synthesis of buildings. A demonstration of a series of experiments will provide evidence that the resulted method could successfully quantifying aesthetic intent. Such a system is feasible and efficient for the early stage of 3D scene synthesis.