Replicator based knowledge representation and spread dynamics

Generalized knowledge representation, replication, and spread are discussed. The basics of replicator- and meme-based knowledge information processes are formulated in terms of computational linguistic constructs. Letter densities and meme entropies are defined. The knowledge constructs of concept sets and underlying concepts are introduced. Knowledge acquisition is argued to consist of learning and discovery. Learning is considered as an instance of knowledge replication that can be modeled in terms of memes and replicator equations.<
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