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Related Concept Videos

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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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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Correlation and Causation01:27

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
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Cause and Effect01:53

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Reasoning01:30

Reasoning

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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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Criteria for Causality: Bradford Hill Criteria - II01:28

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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
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Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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Causal reasoning in New Caledonian crows: Ruling out spatial analogies and sampling error.

Alex Taylor1, Reece Roberts, Gavin Hunt

  • 1Department of Psychology; University of Auckland; Auckland, New Zealand.

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|September 2, 2009
PubMed
Summary

New Caledonian crows demonstrate causal reasoning by solving novel problems after learning a similar task. This study rules out alternative explanations like sampling bias or spatial analogy for their problem-solving transfer.

Keywords:
New Caledonian crowanalogical reasoningcausal reasoningtrap-tabletrap-tube

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Area of Science:

  • Animal Cognition
  • Comparative Psychology
  • Avian Intelligence

Background:

  • Causal reasoning in nonhuman animals remains a debated topic.
  • Previous studies often show animals learning task features, not causal rules.
  • New Caledonian crows previously showed task transfer, suggesting causal reasoning.

Purpose of the Study:

  • To investigate causal reasoning in New Caledonian crows.
  • To differentiate causal reasoning from alternative explanations like sampling bias or spatial analogy.
  • To provide conclusive evidence for causal reasoning in this species.

Main Methods:

  • Utilizing a two-trap-tube task and a novel trap-table task.
  • Analyzing crow performance and transfer of learning between tasks.
  • Designing experiments to specifically exclude sampling bias and spatial analogy.

Main Results:

  • Crows successfully transferred learning from the tube task to the distinct table task.
  • Data collected ruled out sampling bias as an explanation for transfer.
  • Data collected ruled out the use of spatial analogy as an explanation for transfer.

Conclusions:

  • New Caledonian crows exhibit genuine causal reasoning abilities.
  • The findings challenge previous skepticism about animal causal cognition.
  • This study provides strong evidence for sophisticated cognitive processes in birds.