Key Processes

Fractionalization and Reintegration: Tasks are divided among sub-agents for parallel execution, enabling efficient processing. The outputs are reintegrated into the main agent to deliver cohesive and comprehensive results.

Dynamic Collaboration: Agents share intermediate outcomes, leveraging swarm reasoning to resolve conflicts and ensure alignment of outputs.

Feedback Refinement: An iterative evaluation process enhances the efficiency and accuracy of the agents, fostering a continuously evolving system.

Code Example:

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())