  Rationality is frequently associated with making the best possible decisions.
It's widely acknowledged that humans, as rational beings, have limitations in
their decision-making capabilities. Nevertheless, recent advancements in
fields, such as, computing, science and technology, combined with the
availability of vast amounts of data, have sparked optimism that these
developments could potentially expand the boundaries of human bounded
rationality through the augmentation of machine intelligence. In this paper,
findings from a computational model demonstrated that when an increasing number
of agents independently strive to achieve global optimality, facilitated by
improved computing power, etc., they indirectly accelerated the occurrence of
the "tragedy of the commons" by depleting shared resources at a faster rate.
Further, as agents achieve optimality, there is a drop in information entropy
among the solutions of the agents. Also, clear economic divide emerges among
agents. Considering, two groups, one as producer and the other (the group
agents searching for optimality) as consumer of the highest consumed resource,
the consumers seem to gain more than the producers. Thus, bounded rationality
could be seen as boon to sustainability.
