Evolutionary approach to three-person hypergame situation

Presents an evolutionary approach to the hypergame situation based on a three-person hypergame. Our evolutionary approach could primarily deal with the learning problem in a hypergame situation modeled as a network-type dynamic hypergame (NTDH game), which describes a social situation in which each agent perceives the situation autonomously and makes his decision solely based on an individually dependent model. In the paper an NTDH game is simulated by applying a genetic algorithm. Then the essential types of information be required to improve each agent´s perception of the situation are considered