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Promoting Cumulation in models of the human mind

机译：促进人类思维模型的累积

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Lee et al. (2019) address a critical issue in cognitive science-defining scientific practices that will promote rigor and confidence in our science by ensuring that our mechanisms, models, and theories are adequately described and validated to facilitate replication and to foster trust. They provide a number of concrete suggestions to advance our science along that path. The recommendations emphasize preregistration of models and predictions combined with more comprehensive model evaluation, including published descriptions of exploratory analyses, alternative mechanisms, and model assumptions. These are excellent recommendations, and general adoption of such practices will benefit model assessment and validation methodologies in cognitive science research while improving trust in published reports of computational and mathematical accounts of cognitive phenomena. However, it is unclear that these strategies alone will resolve many other important challenges faced in developing quantitative theories of human cognition and behavior. For example, addressing the crisis of confidence will not, by itself, move the science toward the broader goal of developing more comprehensive and cumulative theories of the nature of the human mind. Cognitive modeling is a critical methodology for achieving that goal. However, to realize the potential will require changes not only to how we evaluate our models, but also to how we measure progress and scientific contribution.
机译：李et al。(2019)解决的关键问题认知science-defining科学实践这将促进我们的严谨性和信心科学通过确保我们机制、模型和理论充分被描述验证促进复制和培养信任。建议,推进我们的科学路径。预先登记的模型和预测结合更全面的模型评估,包括发表的描述探索性分析、选择机制,模型的假设。建议,和一般采用这样的评估和实践有利于模型认知科学的验证方法研究同时提高信任出版计算和数学的报告账户的认知现象。不清楚,这些策略会解决其他许多重要的挑战人类的发展定量理论认知和行为。本身的信心危机不会将科学的更广泛的目标发展更全面和累积人类思维的本质的理论。认知建模是一个重要的方法实现这一目标。潜在的需要不仅要如何变化评估我们的模式,但是我们如何衡量进步和科学贡献。

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