The dual strategy model of reason: Integrating counterexample and probabilistic reasoning
推理的双重策略模型:反例推理与概率推理的结合
基本信息
- 批准号:RGPIN-2022-03310
- 负责人:
- 金额:$ 2.4万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Reasoning involves making inferences on the basis of given premises and is an important component of advanced cognition. Unfortunately, research has shown that people have real problems being "logical" and often make illogical inferences. Currently, there are two major models of how people reason, mental model theories and probabilistic theories, which suggest very different underlying processes and mechanisms. However, the latest work from my lab suggests that a hybrid model of reasoning, the Dual strategy model, could potentially integrate these various approaches. This model suggests that each of these theories might represent a different form of reasoning strategy, and identifies two such strategies. Counterexample reasoners make inferences by constructing representations of key aspects of a given problem and are sensitive to potential counterexamples. Statistical reasoners use intuitive access to information in order to generate likelihood estimates of possible conclusions. Several studies, using a previously elaborated diagnostic instrument, suggest that people preferentially use one of these two forms of reasoning strategy. This predicts individual differences on a wide variety of reasoning and judgment tasks. This program will continue to examine this model in more detail, in order to provide a stronger empirical base and to determine with more precision what dimensions characterize the strategy distinction. A first set of studies will examine effects of time constraints on reasoning. Previous results suggest that Statistical reasoners are using a complex form of rapid, intuitive processing, which should be relatively impervious to time constraints, while Counterexample reasoners use more working memory intensive processes for which thinking fast should be less logical than thinking slow. A second series of studies are derived from some preliminary results that suggests that Counterexample reasoners are more focused on a restricted subset of available information while Statistical reasoners are more diffuse and attend to a larger array of information, but in a less focused way. This will be examined in a set of correlational studies using both standard and non-standard measures of attention. A third series of studies will examine the potential implications of differing strategy use on academic performance in children. A recent study with adults has shown that strategy use predicts performance over and above cognitive capacity. This suggests that differences in strategy use could be important tool in understanding differences in the underlying way that children and adolescents process academic information. The Dual strategy model of reasoning has shown that it taps into a major distinction in the way that people think, one which has the potential to change our understanding of the variability in human reasoning. The proposed studies will delve deeper into the cognitive, attentional and developmental components of this distinction.
推理涉及在给定前提的基础上进行推理,是高级认知的重要组成部分。不幸的是,研究表明,人们在“逻辑”方面有真实的问题,经常做出不合逻辑的推论。目前,关于人们如何推理有两种主要的模型,心理模型理论和概率理论,它们提出了非常不同的潜在过程和机制。然而,我实验室的最新研究表明,一种混合推理模型,即双重策略模型,可能会整合这些不同的方法。这个模型表明,这些理论中的每一个可能代表一种不同形式的推理策略,并确定了两种这样的策略。反例推理者通过构建给定问题的关键方面的表示来进行推理,并且对潜在的反例很敏感。统计推理者使用直观的信息访问,以生成可能结论的可能性估计。一些研究,使用先前精心设计的诊断工具,表明人们优先使用这两种形式的推理策略之一。这预示着在各种各样的推理和判断任务上的个体差异。本计划将继续更详细地研究这一模型,以提供更坚实的经验基础,并更精确地确定哪些维度表征了战略差异。第一组研究将考察时间限制对推理的影响。以前的研究结果表明,统计推理者使用的是一种复杂的快速、直观的处理方式,这应该相对不受时间限制的影响,而反例推理者使用的是更多的工作记忆密集型处理方式,在这种方式下,快速思考应该比慢速思考更不符合逻辑。第二个系列的研究来自一些初步的结果表明,反例推理更专注于有限的可用信息的子集,而统计推理更分散,并参加了一个更大的信息阵列,但在一个不太集中的方式。这将在一组相关性研究中使用标准和非标准的注意力测量方法进行检查。第三个系列的研究将探讨不同的策略使用对儿童学习成绩的潜在影响。最近一项针对成年人的研究表明,策略使用预测的表现超过了认知能力。这表明,策略使用的差异可能是理解儿童和青少年处理学术信息的潜在方式差异的重要工具。推理的双重策略模型表明,它利用了人们思维方式的一个主要区别,这有可能改变我们对人类推理可变性的理解。拟议的研究将深入研究这种区别的认知,注意力和发展组成部分。
项目成果
期刊论文数量(0)
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Markovits, Henry其他文献
Reasoning outside the box: Divergent thinking is related to logical reasoning
- DOI:
10.1016/j.cognition.2022.105064 - 发表时间:
2022-02-18 - 期刊:
- 影响因子:3.4
- 作者:
de Chantal, Pier-Luc;Markovits, Henry - 通讯作者:
Markovits, Henry
Multiple layers of information processing in deductive reasoning: combining dual strategy and dual-source approaches to reasoning
- DOI:
10.1080/20445911.2018.1458729 - 发表时间:
2018-01-01 - 期刊:
- 影响因子:1.3
- 作者:
Markovits, Henry;Brisson, Janie;Singmann, Henrik - 通讯作者:
Singmann, Henrik
Explaining sex differences in infants' preferences for groups
- DOI:
10.1016/j.infbeh.2007.03.010 - 发表时间:
2007-12-01 - 期刊:
- 影响因子:2.1
- 作者:
Benenson, Joyce F.;Markovits, Henry;Carder, Hassina P. - 通讯作者:
Carder, Hassina P.
Metacognition and abstract reasoning
- DOI:
10.3758/s13421-014-0488-9 - 发表时间:
2015-05-01 - 期刊:
- 影响因子:2.4
- 作者:
Markovits, Henry;Thompson, Valerie A.;Brisson, Janie - 通讯作者:
Brisson, Janie
Married women with children experience greater intrasexual competition than their male counterparts.
- DOI:
10.1038/s41598-023-31816-0 - 发表时间:
2023-03-18 - 期刊:
- 影响因子:4.6
- 作者:
Benenson, Joyce F.;Markovits, Henry - 通讯作者:
Markovits, Henry
Markovits, Henry的其他文献
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{{ truncateString('Markovits, Henry', 18)}}的其他基金
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2021
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2020
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2019
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2018
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2017
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Towards an integrative theory of conditional reasoning
走向条件推理的综合理论
- 批准号:
RGPIN-2016-04865 - 财政年份:2016
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Development of conditional reasoning: Mental models and information generation
条件推理的发展:心理模型和信息生成
- 批准号:
500-2011 - 财政年份:2015
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Development of conditional reasoning: Mental models and information generation
条件推理的发展:心理模型和信息生成
- 批准号:
500-2011 - 财政年份:2014
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Development of conditional reasoning: Mental models and information generation
条件推理的发展:心理模型和信息生成
- 批准号:
500-2011 - 财政年份:2013
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
Development of conditional reasoning: Mental models and information generation
条件推理的发展:心理模型和信息生成
- 批准号:
500-2011 - 财政年份:2012
- 资助金额:
$ 2.4万 - 项目类别:
Discovery Grants Program - Individual
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