Multi-AI Agents: Architectures, Frameworks, and Real-World Applications

1class CentralController:
2    def __init__(self, agents):
3        self.agents = agents
4
5    def coordinate(self):
6        # Logic to collect information from agents
7        # and assign tasks based on a global plan
8        pass
9
10class Agent:
11    def __init__(self, agent_id, controller):
12        self.agent_id = agent_id
13        self.controller = controller
14
15    def execute_task(self, task):
16        # Execute the assigned task
17        pass
18
19# Example Usage
20agents = [Agent(i, CentralController) for i in range(5)]
21controller = CentralController(agents)
22controller.coordinate()
23

1pseudocode
2Agent A:
3    Role: Supervisor
4    Subordinates: Agent B, Agent C
5    Tasks:
6        - Assign tasks to subordinates
7        - Monitor progress
8        - Resolve conflicts
9
10Agent B:
11    Role: Worker
12    Supervisor: Agent A
13    Tasks:
14        - Execute assigned tasks
15        - Report progress to supervisor
16
17Agent C:
18    Role: Worker
19    Supervisor: Agent A
20    Tasks:
21        - Execute assigned tasks
22        - Report progress to supervisor
23

1pseudocode
2Agent X:
3    Responsibilities:
4        - Communicates directly with Agent Y and Agent Z
5        - Shares information
6        - Negotiates for resources
7
8Agent Y:
9    Responsibilities:
10        - Communicates directly with Agent X and Agent Z
11        - Shares information
12        - Negotiates for resources
13
14Agent Z:
15    Responsibilities:
16        - Communicates directly with Agent X and Agent Y
17        - Shares information
18        - Negotiates for resources
19