The theory was developed by Tom R. Burns, Anna Gomolinska, and Ewa Roszkowska but has not had great influence beyond these immediate associates.
Further, the modeling of the actors themselves in generalized game theory is especially open to the use of concepts such as incomplete information and bounded rationality.
A key aspect of actors decision making in generalized game theory is based on the concept of judgment.
Predicting how actors will react under these sub-rules is hypothesised to be more accurate than forming traditional game theory complexes.
[4] A general or common game solution is a strategy or interaction order for the agents which satisfies or realizes the relevant norms and values of the players.
This should lead to a state that is acceptable by the game players, and is not necessarily a normative equilibrium, but represents the "best result attainable under the circumstances".
The rules which make up the norms of the game are one way of resolving the problem of choosing between multiple equilibria, such as those arising in the so-called folk theorem.
Depending on the differing status and dispositions of the actors, game transformation can occur to form an asymmetric set of rules resulting in a non-optimal outcome.
When game theories are generalized, these uncertainty factors are accounted for in the formation of interaction patterns, but role-playing is often required to understand what optimal solutions will result.