Reasoning, argumentation, and cognition

Keith Frankish

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Reasoning, argumentation, and cognition

机译：推理，论证和认知

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This commentary does three things. First, it offers further support for the view that explicit reasoning evolved for public argumentation. Second, it suggests that promoting effective communication may not be the only, or even the main, function of public argumentation. Third, it argues that the data Mercier and Sperber (M&S) cite are compatible with the view that reasoning has subsequently been co-opted to play a role in individual cognition.

机译：这篇评论做了三件事。首先，它为显式推理演变为公众论证的观点提供了进一步的支持。其次，它表明促进有效的交流可能不是公众论证的唯一或主要功能。第三，它认为数据Mercier和Sperber（M＆S）引用了以下观点，即推理后来被选为在个人认知中起作用的观点是兼容的。

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《Behavioral and Brain Sciences》 |2011年第2期|p.79-80|共2页
作者
Keith Frankish;
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Department of Philosophy, The Open University, Milton Keynes MK7 6AA, United Kingdom;

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1. True to the power of one? Cognition, argument, and reasoning [J] . Drew Michael Khlentzos, Bruce Stevenson Behavioral and Brain Sciences . 2011,第2期

机译：忠于一个人的力量？认知，论证和推理
2. Improving analytical reasoning and argument understanding: a quasi-experimental field study of argument visualization [J] . Simon Cullen, Judith Fan, Eva van der Brugge, NPJ science of learning. . 2018,第1期

机译：改进分析推理和论点理解：论点可视化的准实验现场研究
3. Scientific explanations and arguments: Supporting students with explicit reasoning in argumentation [J] . Andrew Falk, Lauren Brodsky Science scope . 2014,第2期

机译：科学的解释和论点：在论证中用明确的推理支持学生
4. Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates [C] . Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, 5th workshop on argument mining 2018 . 2018

机译：使用参数模板捕获策略参数推理的可行注释方案
5. Dialogic argumentation as a path to enhancing individual argumentive reasoning in academically disadvantaged 8th-graders. [D] . Goh, Wendy Wee Lyn. 2008

机译：对话论证是在学术上处于劣势的八年级学生增强个人论证推理的途径。
6. Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning [O] . Andrea Galassi, Kristian Kersting, Marco Lippi, 2019

机译：神经象征的论证挖掘：有利于深入学习和推理的论证
7. Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning [O] . Andrea Galassi, Kristian Kersting, Marco Lippi, 2020

机译：神经象征的论证挖掘：有利于深入学习和推理的论证

Reasoning, argumentation, and cognition

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