 This general idea of interest-dependency as a source of representational pluralism has been developed further by specifying the nature of the varying interests. In some cases, developing a plurality of partial models of a target system constitutes an intermediate, pragmatic step on the way to a richer, integrative representation of the system. Consider the representation of a radio source in astrophysics. Several models are developed, each representing separately some specific features of the source deemed striking or puzzling by the modeller, before being re-united to form an overall model (Bailer-Jones 2000). In other cases, the plurality of models of a target system reflects a plurality of modelling aims. In climate modelling for instance, the variety of modelling tasks (e.g., prediction of global average parameters, simulation of regional climate change) explains the co-existence of different types of simulations of the evolution of the Earth climate (Parker 2006). Situations of representational plurality may also reflect different modelling preferences and choices regarding causal factors. Some modellers may choose to track certain causal patterns instead of others (Potochnik 2017). This is typically the case in the pluridisciplinary study of human behavior. Significant differences from one modelling approach to another stem from differences in the emphasis put on some causal factors compared to others (Longino 2006).