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2016
- handle: 10670/1.2psxsd
- hal: hal-01429733
- doi: 10.1075/bjl.30.09sch
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info:eu-repo/semantics/altIdentifier/doi/10.1075/bjl.30.09sch
info:eu-repo/semantics/OpenAccess
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Gerhard Schaden, « The Evolution of Lexical Usage Profiles in Social Networks », HAL-SHS : linguistique, ID : 10.1075/bjl.30.09sch
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This paper investigates how network structure influences the outcomes of reinforcement learning in a series of multi-agent simulations. Its basic results are the following: i) contact between agents in networks creates similarity in the usage patterns of the signals these agents use; ii) in case of complete networks, the bigger the network, the smaller the lexical differentiation; and iii) in networks consisting of linked cliques, the distance between usage patterns reflects on average the structure of the network.