In this model, the players were defined as Industry and environment, and using MCDM methods their strategies were analyzed.
In [7], the authors have modeled the players as the Transmission Control Protocol (TCP) flows and the actions as the rate adaptation parameters to optimize their own average throughputs.
The crucial difference between these two results is the way in which they model the players' belief change upon (hypothetically) learning that an opponent has deviated from the backward induction path.
Although their model is apparently a public reputation model, the players can be interpreted to belong to one of the groups defined by the assignment rule; members in each group share a common information source and use the same assignment rule.
In co-operative models, all the players in a given sector constitute a systemic network for generating value.
Recall that in epistemic models (where the players' information is described by partitions), we have the negative introspection property: This means that if \(i\) is unaware of \(E\), then \(i\) knows that she does not know that \(E\).
There is nothing new about these new models, just the players are new and haven't gotten as good at it yet.
In public reputation models, all the players have access to a common information source that provides the reputation values of the players.
If the game has nonfunctional models, or the players frequently complain about it, try to make a better version and tell people about the improvements.
Logg modeled the player's ship, the five-button control scheme, and the game physics after Spacewar!, which he had played as a student at the University of California, Berkeley, but made several changes to improve playability.
