Ambiguity is Kinda Good, Sometimes
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Santana (2014) shows that in common interest signaling games when signals are costly and when receivers can observe contextual environmental cues, ambiguous signaling strategies outperform precise ones and can, as a result, evolve. In this note, I show that if one assumes realistic structure on the state space of a common interest signaling game, ambiguous strategies can be explained without appeal to contextual cues. I conclude by arguing that there are multiple types of cases of payoff beneficial ambiguity, some of which are better explained by Santana's models and some of which are better explained by the models presented here.