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In this paper the experience made through the development of a NAtural Language driven Image Generation is discussed. This system is able to imagine a static scene described by means of a sequence of simple phrases. In particular, a theory for equilibrium and support will be outlined together with the problem of object positioning. i. IntrOduction

A challenging application of the AI techniques is the generation of 2D projections of 3D scenes starting from a possibly unformalized input, as a natural language description. Apart from the practically unlimited simulation capabilities that a tool of this kind could give people working in the show business, a better modeling of the involved cognitive processes is important not only from the point of view of story understanding (Wa8Oa, WaS] a), but also for a more effective approach to a number of AI related problems, as, for instance, vision or robot planning (So76a). In this paper we discuss some of the ideas on which is based a NAtural Language driven Image Generation (NALIG from here on) which has been developed for experimental purposes at the University of Genoa. This system is currently able to reason about static scenes described by means of a set of simple phrases of the form: csubject~~ preposition~ cobject,[creference~](*).