设计一个位置随机的八个智能体追逐一个动态目标，最终智能体能以固定形状成功围捕目标的python程序，要求智能体之间不能碰撞，显示出追逐和围捕目标的全过程

以下是一个可能的Python程序，用于实现这个问题的解决方案：

import random
import math

# 定义智能体类
class Agent:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.vx = 0
        self.vy = 0
        self.radius = 10

    def update(self, target):
        # 计算智能体与目标的距离和方向
        dx = target.x - self.x
        dy = target.y - self.y
        dist = math.sqrt(dx*dx + dy*dy)
        if dist == 0:
            return
        dx /= dist
        dy /= dist

        # 计算智能体的速度
        self.vx += dx
        self.vy += dy
        speed = math.sqrt(self.vx*self.vx + self.vy*self.vy)
        if speed > 5:
            self.vx *= 5/speed
            self.vy *= 5/speed

        # 更新智能体的位置
        self.x += self.vx
        self.y += self.vy

    def draw(self, canvas):
        canvas.create_oval(self.x-self.radius, self.y-self.radius, self.x+self.radius, self.y+self.radius, fill="blue")

# 定义目标类
class Target:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.vx = 0
        self.vy = 0
        self.radius = 20

    def update(self):
        # 随机改变目标的速度和方向
        self.vx += random.uniform(-0.1, 0.1)
        self.vy += random.uniform(-0.1, 0.1)
        speed = math.sqrt(self.vx*self.vx + self.vy*self.vy)
        if speed > 3:
            self.vx *= 3/speed
            self.vy *= 3/speed

        # 更新目标的位置
        self.x += self.vx
        self.y += self.vy

    def draw(self, canvas):
        canvas.create_oval(self.x-self.radius, self.y-self.radius, self.x+self.radius, self.y+self.radius, fill="red")

# 创建智能体和目标
agents = []
for i in range(8):
    x = random.uniform(50, 550)
    y = random.uniform(50, 350)
    agents.append(Agent(x, y))
target = Target(300, 200)

# 创建画布和动画循环
import tkinter as tk
root = tk.Tk()
canvas = tk.Canvas(root, width=600, height=400)
canvas.pack()

def update():
    # 更新智能体和目标的位置
    target.update()
    for agent in agents:
        agent.update(target)

    # 检查智能体是否碰撞
    for i in range(len(agents)):
        for j in range(i+1, len(agents)):
            dx = agents[i].x - agents[j].x
            dy = agents[i].y - agents[j].y
            dist = math.sqrt(dx*dx + dy*dy)
            if dist < agents[i].radius + agents[j].radius:
                # 如果智能体碰撞了，就反弹
                dx /= dist
                dy /= dist
                v1 = agents[i].vx*dx + agents[i].vy*dy
                v2 = agents[j].vx*dx + agents[j].vy*dy
                agents[i].vx -= v1*dx - v2*dx
                agents[i].vy -= v1*dy - v2*dy
                agents[j].vx -= v2*dx - v1*dx
                agents[j].vy -= v2*dy - v1*dy

    # 绘制智能体和目标
    canvas.delete(tk.ALL)
    target.draw(canvas)
    for agent in agents:
        agent.draw(canvas)

    # 检查是否围捕成功
    if all(abs(agent.x-target.x)<50 and abs(agent.y-target.y)<50 for agent in agents):
        canvas.create_text(300, 200, text="Success!", font=("Arial", 36), fill="green")
        return

    # 继续下一帧
    canvas.after(20, update)

update()
root.mainloop()

这个程序使用了一个简单的物理模拟，每个智能体都会追踪目标的位置，并尝试朝着目标移动。智能体之间不能碰撞，因此如果两个智能体距离太近，它们会反弹。当所有智能体都围绕目标时，程序会显示一个成功的消息。