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Universal Semantic Communication (USC) is a theory that models communication among agents without the assumption of a fixed protocol. We demonstrate a connection, via a concept we refer to as process information, between a special case of USC and evolutionary processes. In this context, one agent attempts to interpret a potentially arbitrary signal produced within its environment. Sources of this effective signal can be modeled as a single alternative agent. Given a set of common underlyingdoi:10.1109/tmbmc.2017.2655024 pmid:28808667 pmcid:PMC5553987 dblp:journals/tmbmc/ChastainS16 fatcat:dt5x67tourdtjeio3lvsrdshia