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Related Concept Videos

Reasoning01:30

Reasoning

307
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,...
307
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...
63.5K
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

204
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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First Law Of Thermodynamics: Problem-Solving01:21

First Law Of Thermodynamics: Problem-Solving

3.6K
The first law of thermodynamics states that the change in internal energy of the system is equal to the net heat transfer into the system minus the net work done by the system. This equation is a generalized form of energy conservation and can be applied to any thermodynamic process.
The following strategies can be used to solve any problem involving the first law of thermodynamics.
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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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Technical reasoning alone does not take humans this far.

Maxime Derex1, Robert Boyd2

  • 1Institute for Advanced Study in Toulouse, 31080 Toulouse Cedex 06, Francemaxime.derex@iast.fr.

The Behavioral and Brain Sciences
|August 11, 2020
PubMed
Summary
This summary is machine-generated.

Technical reasoning aids cumulative culture, but skill acquisition incurs significant time and energy costs without socio-cognitive abilities. This highlights the crucial role of social learning in human cultural evolution.

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Area of Science:

  • Evolutionary Anthropology
  • Cognitive Science
  • Human Behavior

Background:

  • Osiurak and Reynaud's work emphasizes technical reasoning's role in cumulative culture.
  • Cumulative culture relies on the transmission and improvement of skills over generations.
  • Understanding the drivers of cultural complexity is a key area in human sciences.

Purpose of the Study:

  • To critically evaluate the role of technical reasoning in cumulative culture.
  • To introduce the overlooked costs associated with skill acquisition.
  • To highlight the necessity of socio-cognitive abilities in cultural learning.

Main Methods:

  • Theoretical analysis of existing literature on technical reasoning and cultural learning.
  • Conceptual framework integrating cognitive and evolutionary perspectives.
  • Argumentative approach focusing on the costs of skill acquisition.

Main Results:

  • Technical reasoning alone is insufficient to explain cumulative culture.
  • Significant time and energy investments are required for skill acquisition.
  • Socio-cognitive abilities are essential for mitigating these acquisition costs.

Conclusions:

  • The development of cumulative culture is constrained by the costs of learning.
  • Socio-cognitive mechanisms play a vital role in facilitating efficient cultural transmission.
  • Future research should integrate cognitive costs into models of cultural evolution.