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Related Concept Videos

Reasoning01:30

Reasoning

62
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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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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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...
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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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Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

23
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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Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Metareasoning: Theoretical and Methodological Developments.

Linden J Ball1, Beth H Richardson1

  • 1School of Engineering & Computing, University of Central Lancashire, Preston PR1 2HE, UK.

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This summary is machine-generated.

This Special Issue explores metareasoning, the cognitive process of monitoring and controlling thinking. It captures current theoretical and methodological advancements in this crucial area of metacognition.

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Area of Science:

  • Cognitive Science
  • Metacognition
  • Artificial Intelligence

Background:

  • Metareasoning involves higher-order cognitive processes.
  • It focuses on monitoring and controlling ongoing thinking and reasoning.
  • This field is crucial for understanding complex cognitive functions.

Discussion:

  • This Special Issue highlights current theoretical advancements.
  • Methodological developments in metareasoning are explored.
  • The interdisciplinary nature of metareasoning is emphasized.

Key Insights:

  • Understanding metareasoning is key to advancing artificial intelligence.
  • New theoretical frameworks are emerging in metacognition research.
  • Methodological innovations are enabling deeper insights into cognitive control.

Outlook:

  • Future research will likely integrate computational and empirical approaches.
  • Applications in AI and cognitive enhancement are anticipated.
  • Continued exploration of metareasoning promises significant advancements in understanding intelligence.