Modelling developmental disorders final

ion, one consequence is that it becomes more difficult to elucidate what each of the model parameters relates to, in terms of specific biological, or environmental factors. At this level of simplification, the model parameters reflect largely a blend of influences from both. For instance, the growth (a) of a given cognitive process may likely be influenced by both biological and environmental factors. On the other hand, the initial level (x) of a process (which may be initially constrained by growth) may be primarily dependent on environmental input. The capacity of a process (K) may be influenced both by environmental and biological factors, and the degree of interconnectivity (M) may initially be largely dependent on biological factors, but susceptible to effects in the environment. Once a cognitive architecture has been specified, one must decide where it is appropriate to apply an initial deficit. Within each architecture, processes differ in their interconnectivity, and thus are likely to differ in the amount of influence they exert on the development of the system as a whole. To illustrate, take the following comparison between the fully distributed model and the central processor model, ! ai