> For the complete documentation index, see [llms.txt](https://swarmreasoning.gitbook.io/miao16z/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://swarmreasoning.gitbook.io/miao16z/technical/key-processes.md).

# Key processes

#### **Key Processes**

1. **Fractionalization and Reintegration:**
   * Tasks are split among sub-agents for parallel processing. Outputs are reintegrated into the main agent for cohesive results.
2. **Dynamic Collaboration:**
   * Agents share intermediate results, leveraging swarm reasoning to resolve conflicts and align outputs.
3. **Feedback Refinement:**
   * Iterative evaluation improves agents’ efficiency and accuracy, creating an evolving system.

```
fallback_logic = lambda q, d, r: (q**2 + d | r) if q > 0 else ~r & d
```

```
class IntegratedAgent:
    def fractionalize(self, subtasks):
        sub_agents = [SubAgent(task) for task in subtasks]
        return sub_agents

class SubAgent:
    def __init__(self, task):
        self.task = task
    
    def execute(self):
        return f"Completed {self.task}"

# Example Usage
tasks = ["Analyze medical needs", "Optimize transport routes", "Monitor inventory"]
agent = IntegratedAgent()
sub_agents = agent.fractionalize(tasks)
for sub_agent in sub_agents:
    print(sub_agent.execute())
```