在机器中探测意识
Mathis Immertreu1,2, Achim Schilling3,4, Andreas Maier1,2
1CCN Group, Pattern Recognition Lab, Erlangen, Germany.
Frontiers in artificial intelligence
|September 5, 2025
概括
人工代理可以通过整合自我和世界模型来发展核心意识,受达马西奥的启发
科学领域:
- 人工智能
- 神经科学
- 认知科学
背景情况:
- 核心意识是由安东尼奥·达马西奥 (Antonio Damasio) 提出的,它是通过整合自我和世界模型而产生的.
- 这些模型是由情绪,感受和环境表现所决定的.
研究的目的:
- 调查人工智能是否可以开发初步的自我和世界模型.
- 通过强化学习探索机器意识的潜力.
主要方法:
- 在虚拟环境中使用强化学习 (RL) 训练人工智能.
- 使用前分类器探测神经网络的激活.
- 评估代理人预测自己的空间位置的能力.
主要成果:
- 人工代理证明了形成基本的自我和世界模型的能力.
- 这些模型是代理人玩电子游戏的主要任务的副产品.
结论:
- 人工智能可以发展意识的基本方面.
- 这项研究提供了关于人工智能和机器意识的见解.
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