In this paper we built up an agent-based model inspired by human-subject behaviour in a signaling game experiment. The behavioural patterns of players observed in the experiment are classified in terms of attitudes, emotions and frugal and fast heuristics. We build up an agent-based model where artificial agents are endowed with these cognitive patterns by means of an endorsement scheme. We show the relationship between cognition and Multi-Agent interaction. We validate the model since it reproduces well the behavioural patterns observed in the human-subjects experiment.
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