Gobet Fernand
Department of Psychological Sciences, University of Liverpool.
Top Cogn Sci. 2017 Apr;9(2):522-532. doi: 10.1111/tops.12265. Epub 2017 Mar 20.
Newell (1973) argued that progress in psychology was slow because research focused on experiments trying to answer binary questions, such as serial versus parallel processing. In addition, not enough attention was paid to the strategies used by participants, and there was a lack of theories implemented as computer models offering sufficient precision for being tested rigorously. He proposed a three-headed research program: to develop computational models able to carry out the task they aimed to explain; to study one complex task in detail, such as chess; and to build computational models that can account for multiple tasks. This article assesses the extent to which the papers in this issue advance Newell's program. While half of the papers devote much attention to strategies, several papers still average across them, a capital sin according to Newell. The three courses of action he proposed were not popular in these papers: Only two papers used computational models, with no model being both able to carry out the task and to account for human data; there was no systematic analysis of a specific video game; and no paper proposed a computational model accounting for human data in several tasks. It is concluded that, while they use sophisticated methods of analysis and discuss interesting results, overall these papers contribute only little to Newell's program of research. In this respect, they reflect the current state of psychology and cognitive science. This is a shame, as Newell's ideas might help address the current crisis of lack of replication and fraud in psychology.
纽厄尔(1973)认为心理学进展缓慢,因为研究集中在试图回答二元问题的实验上,比如串行处理与并行处理。此外,对参与者使用的策略关注不足,并且缺乏作为计算机模型实施的理论,这些理论无法提供足够精度以进行严格测试。他提出了一个三头研究计划:开发能够执行其旨在解释的任务的计算模型;详细研究一个复杂任务,如下棋;构建能够解释多个任务的计算模型。本文评估了本期论文推进纽厄尔计划的程度。虽然一半的论文对策略给予了很多关注,但仍有几篇论文对策略进行了平均处理,按照纽厄尔的说法,这是一个严重的错误。他提出的三个行动方向在这些论文中并不受欢迎:只有两篇论文使用了计算模型,且没有一个模型既能执行任务又能解释人类数据;没有对特定电子游戏进行系统分析;也没有论文提出一个能解释多个任务中的人类数据的计算模型。结论是,虽然这些论文使用了复杂的分析方法并讨论了有趣的结果,但总体而言,它们对纽厄尔的研究计划贡献甚微。在这方面,它们反映了心理学和认知科学的当前状态。这很遗憾,因为纽厄尔的想法可能有助于解决当前心理学中缺乏可重复性和欺诈的危机。