Equationless qualitative models of science parks: part II, optimisation by time sequences of scenarios

Abstract

The science park (SP) qualitative models are studied in Reznakova et al. (2012). This paper concentrates on unsteady state models and its optimisation. The set of scenarios (see Reznakova et al., 2012) contains all possible time transitions among them as they contain time derivatives. It is therefore possible to generate an oriented graph which has nodes the scenarios and as oriented edges the possible transitions. Qualitative SP models can be therefore used to generate all possible dynamic behaviours i.e., all past time histories and all possible futures. A set of all possible unsteady SP state behaviours is used to support different decision making tasks and solve qualitative optimisation problems.