Architectural Design of Multi-Intelligent Body Systems
The core technical feature of Quantum Swarm framework is its efficient multi-intelligence management system. The system adopts a two-tier architecture of environment and agent, where the environment serves as a container to manage the interaction space of all the intelligences, and the intelligences are computational units with independent decision-making capabilities. Each intelligent body can interact with the environment and other intelligent bodies through the API provided by the framework.
Key Functionality Implementation
- Intelligent Body Behavior Customization: Developers can fully define the perception-decision-execution cycle of each intelligent body
- Distributed computing support: the framework automatically handles concurrency control and resource sharing among multiple intelligences
- Collaboration mechanisms are built in: standardized communication protocols and information-sharing schemes are available
Technical implementation details
In practice, the developer first creates an Environment instance as a base container and then adds multiple Agent instances to it. Each Agent can be bound to different behavioral policies, and custom logic is injected through the set_behavior method. Eventually, the run_simulation method initiates the operation and observation of the whole system. This design pattern greatly simplifies the implementation of complex group intelligence systems.
This answer comes from the articleQuantum Swarm: a framework for multi-intelligence cluster collaborationThe
