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What is Forecasting 03 00039 V2 about?

This paper presents a taxonomy of hybrid intelligence, highlighting the integration of human and machine intelligence for improved forecasting. It categorizes hybrid systems based on the roles of algorithms, ranging from assistants to peers, facilitators, and system-level operators, each with varying levels of complexity and interaction with human users. The author emphasizes the potential for these hybrid systems to enhance resilience against human errors and biases in decision-making processes.

Author

Deepa

Language

EN