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Related Concept Videos

Reasoning01:30

Reasoning

77
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
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Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

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A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
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Deductive Reasoning01:16

Deductive Reasoning

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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
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Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Inductive Reasoning00:59

Inductive Reasoning

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Metacognition01:26

Metacognition

152
Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
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Progressing the Development of a Collaborative Metareasoning Framework: Prospects and Challenges.

Beth H Richardson1, Linden J Ball1

  • 1School of Psychology & Humanities, University of Central Lancashire, Preston PR1 2HE, UK.

Journal of Intelligence
|March 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for collaborative metareasoning, expanding on individual metareasoning to address team-based thinking. It highlights self, other, and joint monitoring and control for better team reasoning in critical domains.

Keywords:
alignmentcollaborationintersubjectivitylanguagemetacognitive controlmetacognitive monitoringmetareasoningreasoningteamsuncertainty

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Area of Science:

  • Cognitive Science
  • Social Psychology
  • Human-Computer Interaction

Background:

  • Metareasoning, the monitoring and control of thinking, has been framed at the individual level.
  • Existing frameworks do not address metareasoning within collaborative activities.
  • Team-based reasoning is crucial in fields like design, defense, and process control.

Purpose of the Study:

  • To propose a novel conceptual framework for collaborative metareasoning.
  • To understand how teams manage task demands and diverse interlocutor perspectives.
  • To address the gap in existing literature regarding team-level metareasoning.

Main Methods:

  • Conceptual advancement of existing metareasoning theories.
  • Introduction of a tripartite distinction: self-monitoring, other monitoring, and joint monitoring.
  • Introduction of a parallel distinction: self-focused control, other-focused control, and joint control.

Main Results:

  • A new framework for collaborative metareasoning is proposed.
  • The framework emphasizes the interplay between individual and group cognitive processes.
  • Language is identified as a key indicator of uncertainty and misalignment in teams.

Conclusions:

  • Collaborative metareasoning is essential for effective team functioning in complex domains.
  • The proposed framework offers a novel perspective on team cognition.
  • Future research should explore language as a metric within this framework.