计算理性:大脑,思维和机器智能的融合范式
Samuel J Gershman1, Eric J Horvitz2, Joshua B Tenenbaum3
1Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA. gershman@fas.harvard.edu horvitz@microsoft.com jbt@mit.edu.
概括
人工智能,认知科学和神经科学正在融合,专注于计算智能. 这种重新融合推动了在不确定性下对感知,行动和决策的创新.
科学领域:
- 在人工智能 (AI),认知科学和神经科学的交叉点进行跨学科研究.
背景情况:
- 历史上分开的领域现在正在汇聚在共享的计算智能理论上.
- 这种重新融合促进了跨学科的合作和知识交流.
研究的目的:
- 通过计算来绘制理解不确定性下的感知和行动的进步.
- 探索最佳决策的计算理性发展.
主要方法:
- 审查了数十年来对智能的计算方法的进展.
- 检查概率推理的表示和推理.
- 分析计算权衡的机器 (努力,精度,及时性).
主要成果:
- 大规模概率推理方法的开发.
- 能够反思计算权衡的机器.
- 将计算理性应用于复杂的现实问题.
结论:
- 人工智能,认知科学和神经科学的融合提供了一个统一的智能观.
- 计算方法为解决感知,行动和决策挑战提供了强大的工具.
- 这些领域之间的交流对未来的科学发现具有重大潜力.
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