Journal on Policy and Complex Systems
Figure 19 . Spatial distribution of spatial agents .
select the cell grid according to the highest sugar value . If several patches exist with the same value , the agent chooses the closest one .
So , individual agents act with bounded rationality while exploiting the patches , given the fact that the choice of the patches is made according to the distance and the highest sugar value , but they do not coordinate their actions between themselves , which would be establishing who will explore a specific site , leading to suboptimal choices .
Finally , the execution order of this model is such that agents perform their respective operations according to a pre-specified set of rules , and then , all operations within each cell grid are carried out .
It is worth mentioning that there are also several other versions of this model that include more complex iterations between the agents and more
spatial complexity , such as the introduction of another commodity ( spice ), combat rules between agents , sex and reproduction , genetic inheritance and so on , but for the sake of this work , this basic set of rules exhibit the necessary features to study the role of spatial complexity in terms of rising long-range dependency properties .
To achieve that , the present authors modified the original model in order to remove agent heterogeneity , by setting maximum and minimum life expectancy to the number of simulation ticks ( avoiding the generation of new random agents by death cause ), and the same for vision , initial quantity of sugar and metabolism . Hence , all agents behave the same way , and they are not replaced by another agent ( as in the original model ) with a random set of characteristics , which may introduce heterogeneity in the system .
Aiming at comparisons between
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