在深度学习时代的认知科学哲学
1Department of Philosophy, Macquarie University, Sydney, Australia.
Wiley interdisciplinary reviews. Cognitive science
|May 22, 2024
概括
深度学习,一个关键的AI进步,为认知科学哲学提供了新的见解. 哲学家可以探索深层神经网络和认知的基础问题.
科学领域:
- 认知科学哲学 认知科学哲学
- 人工智能的人工智能
- 机器学习 机器学习
- 计算机科学和机器人技术
背景情况:
- 深度学习 (DL) 推动了人工智能的重大进展,影响了认知科学.
- 深度神经网络 (DNN) 克服了旧的连接主义模型的局限性.
- 这一进展对于关于认知的哲学辩论来说非常重要.
研究的目的:
- 探索深度学习与认知科学哲学之间的相关性.
- 确定哲学和人工智能研究人员之间跨学科合作的领域.
- 调查哲学贡献有价值的基本问题.
主要方法:
- 展望论文调查了十字路口的关键区域.
- 在认知科学的背景下分析深层神经网络.
- 审查评估深度学习模型的方法挑战.
主要成果:
- 深度学习的进步为理解认知提供了新的模型.
- 跨学科的合作可以解决人工智能的方法挑战.
- 哲学研究可以阐明深度学习和认知的基本方面.
结论:
- 深度学习为认知科学中的哲学调查提供了肥沃的基础.
- 合作对于推进人工智能和认知科学至关重要.
- 哲学家在塑造对人工认知的理解方面发挥着至关重要的作用.
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