scispace - formally typeset
Open AccessBook

The Cambridge handbook of thinking and reasoning

Reads0
Chats0
TLDR
The Cambridge Handbook of Thinking and Reasoning as mentioned in this paper is the first comprehensive and authoritative handbook covering all the core topics of the field of thinking and reasoning written by the foremost experts from cognitive psychology, cognitive science, and cognitive neuroscience, individual chapters summarize basic concepts and findings for a major topic, sketch its history and give a sense of the directions in which research is currently heading.
Abstract
The Cambridge Handbook of Thinking and Reasoning is the first comprehensive and authoritative handbook covering all the core topics of the field of thinking and reasoning Written by the foremost experts from cognitive psychology, cognitive science, and cognitive neuroscience, individual chapters summarize basic concepts and findings for a major topic, sketch its history, and give a sense of the directions in which research is currently heading The volume also includeswork related to developmental, social and clinical psychology, philosophy, economics, artificial intelligence, linguistics, education, law, and medicine Scholars and students in all these fields and others will find this to be a valuable collection

read more

Citations
More filters
Journal ArticleDOI

When Corrections Fail: The Persistence of Political Misperceptions

TL;DR: The authors conducted four experiments in which subjects read mock news articles that included either a misleading claim from a politician, or misleading claim and a correction, and found that corrections frequently fail to reduce misperceptions among the targeted ideological group.
Journal ArticleDOI

It's All about Me: Narcissistic Chief Executive Officers and Their Effects on Company Strategy and Performance:

TL;DR: In this paper, the authors used unobtrusive measures of the narcissism of chief executive officers (CEOs) such as the prominence of the CEO's photograph in annual reports, CEO's prominence in press releases, and CEO's...
Journal ArticleDOI

Why Do Humans Reason? Arguments for an Argumentative Theory

TL;DR: The hypothesis is that the function of reasoning is argumentative: It is to devise and evaluate arguments intended to persuade and is adaptive given the exceptional dependence of humans on communication and their vulnerability to misinformation.
Book ChapterDOI

Defining Twenty-First Century Skills

TL;DR: In this article, the authors argue that success lies in being able to communicate, share, and use information to solve complex problems, in adapting and innovating in response to new demands and changing circumstances, in marshaling and expanding the power of technology to create new knowledge, and in expanding human capacity and productivity.
Journal ArticleDOI

How numeracy influences risk comprehension and medical decision making.

TL;DR: Four theoretical approaches (psychophysical, computational, standard dual-process, and fuzzy trace theory) are outlined, their implications for numeracy are reviewed, and avenues for future research are pointed to.
References
More filters
Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book

Judgment Under Uncertainty: Heuristics and Biases

TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Book

Metaphors We Live By

TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
Book

Self-Organizing Maps

TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.