  In this paper we highlight the scopes of engineering bio-inspired political
systems, which are political systems based on the properties of life that
self-organize the increasing complexity of human social systems. We describe
bio-inspired political systems and conjecture about various ways to get to
them, most notably, metaheuristics, modeling and simulation and complexified
topologies. Bio-inspired political systems operate with nature-based dynamics,
inspired on the knowledge that has been acquired about complexity from natural
social systems and life. Bio-inspired political systems are presented as the
best alternative for organizing human sociopolitical interactions as
computation and microelectronics-based technology profoundly modify the ways in
which humans decide. Therefore, weakening classical political systems. For
instance, dwindling top-down power structures, modifying the notion of
geographical spatiality and augmenting the political granularity. We also argue
that, more than a new theoretical proposal, bio-inspired political systems are
coming to be the political systems of the future.
