上述代碼實現了基于Mesa框架的診斷智能體類，包含以下核心功能：

1. 模塊化設計：通過類屬性分離數據與行為，支持不同專科智能體的擴展
2. 狀態管理：實現idle/processing/error等狀態轉換，支持任務調度
3. 診斷推理：集成機器學習模型，支持癥狀提取與多分類診斷
4. 錯誤處理：包含模型加載失敗的降級策略，確保系統魯棒性

在實際應用中，可通過Mesa的DataCollector類收集診斷準確率、處理時間等性能指標，通過BatchRunner進行多輪仿真優化智能體配置。

SPADE框架通信協議實現

SPADE框架基于XMPP協議實現智能體間通信，以下是醫療場景下通信協議的實現代碼：

from spade.agent import Agent
from spade.behaviour import CyclicBehaviour, OneShotBehaviour
from spade.message import Message
from spade.template import Template
import json
import time
from datetime import datetimeclass SurgeryCoordinatorAgent(Agent):"""手術協調智能體，負責手術團隊智能體的任務分配"""class TaskAssignmentBehaviour(CyclicBehaviour):"""任務分配行為"""async def on_start(self):self.assigned_tasks = {}self.available_agents = []self.task_queue = []async def run(self):# 接收可用智能體狀態消息template = Template(metadata={"performative": "status_update"})msg = await self.receive(template=template, timeout=10)if msg:agent_id = msg.sender.localpartstatus = json.loads(msg.body)["status"]# 更新可用智能體列表if status == "available" and agent_id not in self.available_agents:self.available_agents.append(agent_id)print(f"Agent {agent_id} is available")# 處理任務隊列while self.task_queue and self.available_agents:task = self.task_queue.pop(0)agent_jid = f"{self.available_agents.pop(0)}@your-xmpp-server.com"self.assigned_tasks[task["task_id"]] = agent_jid# 發送任務分配消息task_msg = Message(to=agent_jid)task_msg.set_metadata("performative", "assign_task")task_msg.set_metadata("task_type", task["task_type"])task_msg.body = json.dumps(task)await self.send(task_msg)print(f"Assigned task {task['task_id']} to {agent_jid}")# 接收任務完成消息completion_template = Template(metadata={"performative": "task_completed"})completion_msg = await self.receive(template=completion_template, timeout=5)if completion_msg:task_data = json.loads(completion_msg.body)task_id = task_data["task_id"]if task_id in self.assigned_tasks:del self.assigned_tasks[task_id]# 將完成任務的智能體重置為可用狀態agent_id = completion_msg.sender.localpartif agent_id not in self.available_agents:self.available_agents.append(agent_id)print(f"Task {task_id} completed by {agent_id}")class TaskSubmissionBehaviour(OneShotBehaviour):"""接收外部任務提交"""def __init__(self, task):super().__init__()self.task = taskasync def run(self):# 將新任務加入隊列self.agent.behaviours[0].task_queue.append(self.task)print(f"Added new task to queue: {self.task['task_id']}")async def setup(self):print(f"Surgery Coordinator Agent started at {datetime.now()}")# 添加任務分配行為task_behaviour = self.TaskAssignmentBehaviour()self.add_behaviour(task_behaviour)# 添加任務提交行為模板submission_template = Template(metadata={"performative": "submit_task"})self.add_behaviour(self.TaskSubmissionBehaviour({}), submission_template)class SurgicalRobotAgent(Agent):"""手術機器人智能體"""class OperationBehaviour(CyclicBehaviour):"""手術操作行為"""async def run(self):# 接收任務分配消息template = Template(metadata={"performative": "assign_task"})msg = await self.receive(template=template, timeout