Reputation and uncertainty : a fairly optimisticsociety when cheating is total
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In an uncertain world, humans or artificial agents, to cope
with uncertainty, need to communicate and share information to increase the number of their experiences, and consequently their possibility of success. The information shared by agents in a society can have different
nature: accepted evaluations (Image) or reported voices (Reputation). In this work we model a simulative context where information acquisition is strongly affected by false information; in the experiments presented, performed on the RepAge Platform which is a computational module for the management of reputational information, agents can lie or report others’ lies. In this work we explore the effect of informational cheating under extreme setting, focusing to study from one hand, the effect of cheating on the quality achievement when the society is composed by a large amount of liars, and on the other hand, the beliefs formation
and revision dynamics when the informational domain is not reliable. Information accuracy has effect on the market in relation with its trustworthiness; if social information is not reliable communication loses its importance.