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The document discusses the computational self-assembly in the context of a concurrent language called κ, which is designed for modeling biological signaling pathways. It explores the computational limits and methodologies for compiling κ into a binary interaction model while maintaining expressiveness. The authors demonstrate that while binary interactions can replicate the behaviors of κ, additional mechanisms like unique identifier creation are necessary for full expressiveness. The paper also delves into the implications of this work for distributed algorithmics and biological modeling, emphasizing the importance of understanding the computational properties of such languages.

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