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Related Concept Videos

Inductive Reasoning00:59

Inductive Reasoning

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...
Deductive Reasoning01:16

Deductive Reasoning

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...
Reasoning01:30

Reasoning

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,...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Planning Nursing Care I01:21

Planning Nursing Care I

The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...

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Related Experiment Videos

Planning as inference.

Matthew Botvinick1, Marc Toussaint

  • 1Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, USA. matthewb@princeton.edu

Trends in Cognitive Sciences
|September 4, 2012
PubMed
Summary
This summary is machine-generated.

Cognitive science is revisiting how planning works. New research suggests planning may be achieved through probabilistic inference, offering a transformative perspective on decision-making processes.

Related Experiment Videos

Area of Science:

  • Cognitive Science
  • Neuroscience
  • Decision-Making Research

Background:

  • Planning is a central topic in cognitive science.
  • Recent research has renewed interest in understanding the mechanisms of planning.
  • The precise information processing operations and neural implementation of planning remain unclear.

Purpose of the Study:

  • To explore the fundamental question of how planning occurs.
  • To investigate the underlying information processing operations involved in planning.
  • To examine the potential role of probabilistic inference in planning.

Main Methods:

  • Review of recent developments in decision-making research.
  • Analysis of theoretical frameworks for understanding planning.
  • Exploration of the concept of probabilistic inference in cognitive processes.

Main Results:

  • Planning is re-emerging as a key area of focus in cognitive science.
  • A novel hypothesis suggests planning is executed via probabilistic inference.
  • This perspective offers a potentially transformative approach to understanding planning.

Conclusions:

  • Probabilistic inference presents a promising new framework for understanding planning.
  • Further research is needed to elucidate the neural basis of planning through this lens.
  • This approach could significantly advance our understanding of decision-making.