  Bounded rationality refers to the non-optimal rationality of players in
non-cooperative games. In a networked game, the bounded rationality of players
may be heterogeneous and spatially distributed. It has been shown that the
`system rationality', which indicates the overall rationality of a network of
players, may play a key role in the emergence of scale-free or core-periphery
topologies in real-world networks. On the other hand, scalar-assortativity is a
metric used to quantify the assortative mixing of nodes with respect to a given
scalar attribute. In this work, we observe the effect of node rationality-based
scalar-assortativity, on the system rationality of a network. Based on
simulation results, we show that irrespective of the placement of nodes with
higher rationality, it is the disassortative mixing of node rationality that
helps to maximize system rationality in a population. The findings may have
useful interpretations and applications in socio-economic systems in maximizing
the utility of interactions in a population of strategic players.
