equilibrium

In >networks of >actors, equilibrium is a state of the network where no actor changes his chosen actions and expects every other actor also to stick to her actions. This is a state where no new >information is generated, which is the same as the thermodynamic state of maximum entropy and minimum enformation. This implies that any system that generates information cannot be in equilibrium. Hence dynamic economic systems always stay far from equilibrium, which requires a constant inflow of >energy to maintain their structure and the evolution of the embodied knowledge. The EE equivalent to the neoclassical equilibrium concept is therefore >viability of structures in spite of a continuously changing knowledge, i.e. viability of non-equilibrium states.

The EE use of the equilibrium concept is restricted to the aforementioned concept of expectational equilibria, where action confirms mutual expectations of actors. Here, equilibrium is a necessary condition for stabilization of configurations, as in >games. This implies that observed configurations can change because of changes internal to the actors, for example, new interpretations.

Basic References
A classic defining a systems view on the equilibrium concept is
Janos Kornai, Anti-Equlibrium. On Economic Systems Theory and the Tasks of research, Amsterdam-London: North Holland, 1971.

Semantic Field
entropy
equilibrium   viability