Python, Artificial Intelligence, Software Development, Data Science, Programming.
[initial_position] for _ in range(time_steps): new_positions = positions[-1] + velocity positions.append(new_position) # Visualize the simulation plt.figure(figsize=(8, 8)) for agent_positions in positions: plt.scatter(agent_positions[:, 0], agent_positions[:, 1], s=2) plt.xlabel('X')