Distributed Intelligence

Definition ∞ Distributed intelligence describes systems where computational tasks and decision-making capabilities are spread across multiple independent agents or nodes. This approach contrasts with centralized systems by allowing individual components to process information and make decisions collaboratively, often without a single point of control. In the context of digital networks, it enhances resilience, scalability, and autonomy. Such systems leverage collective processing power to address complex problems more efficiently.
Context ∞ Distributed intelligence is a fundamental concept underlying many blockchain and decentralized artificial intelligence initiatives, regularly discussed in news related to Web3 development. The application of distributed intelligence seeks to create more robust and adaptive networks, moving beyond traditional client-server models. Advancements in this area are critical for developing self-organizing digital ecosystems and peer-to-peer computation platforms.