I'm writing a paper that demonstrates that linguists can use the concepts in game theory to infer what interlocutors naturally infer when the literal meaning of their utterances doesn't ostensibly express the conveyed meaning.
I use the following example to demonstrate that linguists can use game theory to work out the inferences I mentioned in the previous paragraph.
...Grice’s famous reference letter example, wherein a professor writes a testimonial for one of his former students who plans to submit it as a part of his application for a mathematics job. The professor’s letter reads,
Dear Sir,
Mr.Brown's command of English is excellent; his attendance at tutorials has been regular.
Yours, etc.
Manifestly, the professor intends to discourage the student's prospective employer from hiring the student, despite commending him in his letter.
I used the following reasoning to deduce the meaning the professor intended to convey.
Let us assume, that the communicators have common knowledge of the facts that, for the most part,
- people prefer not to say bad things about other people;
- people more often believe what another person states than they disbelieve what another person states; and
- people desire not to write letters that do not effect the state of affairs that they desire.
Thus,
Let w denote the utility of writing letters, regardless of their consequences
Let d denote the utility of saying bad things about other people
Let x denote the probability the addressee believes what the addressor communicates Such that, d < w < n < 0, and that x > 0, x < 1, x > y
Consider
That an intentionally vapid message that succeeds has a lower utility than no action, so the sender could not have intended to communicate a vapid message.
If the sender wished to convey a good message, he would have experienced more utility by sending a good message than by sending a vapid one; thus, he could not have sent a vapid message to convey a good message.
The sender did not communicate a good message, a bad message, or no message at all, so we can eliminate all the remaining cells in the columns labelled persuade, dissuade, and do nothing.
Only the cell dissuade-vapid remains.
So using a few elements of common knowledge we have deduced that given that the sender sent a vapid message, the only rational explanation for his action is that he desired to convey his unfavourable opinion of the applicant.
I'd like to illustrate that we could more precisely represent the above reasoning with game theory's formal tools than with ordinary language. However, I'm not familiar with its system of notation.
How would game theorists notate that reasoning?
(I'll cite this stack and the answering user).

Suggestion: Some formalisms/ideas that are based on your treatment and that you can consider as additions. You can also check the References, where you can find more mathematical details. I choosed not to introduce too many variables and mathematical notation to prove your case (payoff matrices for example), since your conclusions follow from logical arguments, which can be however expressed in a more game-theoretic context (as you wanted), as I propose below.
The above situation can be formalized in the framework of a signaling game with two players, the sender (S) and the receiver (R) (see Wikipedia for the formalisms).
Set of possible messages $M=\{\text{positive, negative, vapid}\}$
Types $T=\{\text{bad student, good student}\}$
Actions $A=\{\text{hire, not hire}\}$
The game is played as follows
As in general signaling games, the main question is whether in the above situation the professor has an incentive to signal an honest message. In this specific case, our intention is to prove that sending a vapid message is a dominant strategy in the case that the student is bad, or in other words that the professor would never send a negative message to convey that the student is bad.
In this game the Professor and the Employer both have coinciding interests. That is, they both want that the student will be hired in the case that he is good and they both want that the student will not be hired in the case his a bad. This fact simplifies the calculation of the equilibrium of the game.
The Professor and the Employer will receive payoffs dependent on
Concerning the payoffs and the strategies of the players, following considerations apply
Assume that Professors systematically give false information about students in their recommendation letters. That would lead the prospective Employers to gradually ignore these letters and base their decision completely upon their personal impression. Therefore, we have a good reason to assume that Professor’s do not give false information.
The Professor incurs a very high cost if he sends a negative letter. Although a negative letter conveys unequivocally the message that the student is bad and he should not be hired and thus increases Professor’s gains, these gains are offset by the fact that he has to say negative things about another person (the student), probably hurt her feelings or be accused for not judging him fairly. This assumption is crucial, since it is the reason we will subsequently conclude that the Professor never chooses to send this message. But, how will he convey that the student is bad, if he never sends a negative message?
The Employer can follow the above reasoning, and thus ascribes zero probability to the event that the Professor will send a negative letter, even in the case that the student is bad! More specifically, the employers beliefs concerning Professor’s type can be modelled as follows: $$\begin{matrix} & Bad & Good \\ Positive & 0 & 1 \\ Negative & 1 & 0 \\ Vapid & x & y \end{matrix}$$ where $x>y$. (Actually, in this step we implicitly assume that there is a tacit agreement between Professor’s and prospective employers, that the Professor will send a vapid message if the student is bad. Since, this is exactly what we want to prove, this point can be omitted, or can be slightly altered to fit as conclusion.)
Based on the above beliefs, the actions of the Employer are uniquely determined. He should hire the student whenever he receives a positive message, not hire the student when he receives a negative message and follow a mixed strategy when he receives a vapid message.
Inferring the Employer’s strategy, the Professor maximizes his own payoff, by sending following messages:
But, since the prospective employer can infer Professor’s strategy he can actually be certain that when he receives a vapid message, that means that the student is bad, that is, his beliefs are updated as follows $$\begin{matrix} & Bad & Good \\ Positive & 0 & 1 \\ Negative & 1 & 0 \\ Vapid & \approx 1 & \approx 0 \end{matrix}$$
The conclusion is the following
The above strategies constitute a perfect Bayesian equilibrium of the signaling game. Thus – interpreting the equilibrium – we can expect that the behavior of the players will match the above description in most of the cases that this interaction will take place.
References: