Collaborative intelligence refers to systems where multiple entities collectively contribute to a shared objective, often involving data processing or decision-making. In a decentralized context, this typically involves participants working together across a network without a central authority. It leverages distributed contributions to achieve outcomes that surpass individual capabilities. This approach can enhance the robustness and accuracy of network operations.
Context
Within the digital asset space, collaborative intelligence applies to areas like decentralized autonomous organizations (DAOs) or distributed machine learning models. The ongoing discussion frequently addresses mechanisms for incentivizing participation and ensuring the integrity of collective contributions. Future progress in this domain could lead to more sophisticated and resilient decentralized applications.
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