论文标题
认知科学的计算推断：运营，社会和道德考虑因素
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations
论文作者
论文摘要
新兴的研究边界和计算进步已逐渐将认知科学转变为多学科和数据驱动的领域。结果，从不同的学术角色和不同水平的抽象中研究和解释认知理论的扩散。我们将这一挑战的这一应用方面作为计算认知推断，并描述了计算方法的主要途径。为了在认知科学的数据驱动时代的速度和规模上平衡潜在的乐观态度，我们建议通过确定进行研究和解释认知科学计算推论的研究和解释的结果，以更经验的术语来检查这一趋势。
Emerging research frontiers and computational advances have gradually transformed cognitive science into a multidisciplinary and data-driven field. As a result, there is a proliferation of cognitive theories investigated and interpreted from different academic lens and in different levels of abstraction. We formulate this applied aspect of this challenge as the computational cognitive inference, and describe the major routes of computational approaches. To balance the potential optimism alongside the speed and scale of the data-driven era of cognitive science, we propose to inspect this trend in more empirical terms by identifying the operational challenges, societal impacts and ethical guidelines in conducting research and interpreting results from the computational inference in cognitive science.
