👉 Organizer computing is a computational paradigm that leverages the collective intelligence and distributed resources of a network of organizers, who are essentially intelligent agents or software entities. These organizers operate autonomously but can coordinate with each other to solve complex problems, often by sharing information and collaborating on tasks. The organizer acts as a mediator or coordinator, facilitating communication among the agents and ensuring that the overall system functions efficiently. This approach is particularly useful for tasks that require diverse expertise, large-scale data processing, or adaptive problem-solving, as it allows the system to dynamically allocate resources and adjust to changing conditions. By distributing computational tasks across multiple organizers, the system can achieve higher performance, robustness, and scalability compared to centralized or traditional distributed computing models.
