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Abstract The paper studies how a group of distributed agents may spontaneously and autonomously develop a language to refer to other agents in their environment by engaging in a series of language games. The language is adaptive in the sense that it expands or adjusts to the entry of new agents and new meanings. The paper describes the language formation mechanisms and details the results of computational simulations. The paper proposes a set of mechanisms by which a group of distributed agents may develop autonomously a language for identifying other agents in their environment. The set of agents and the set of features used for making distinctions is open-ended. The language autonomously adapts by the individual actions of agents with only local interactions.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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