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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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Inference as a fundamental process in behavior.

Ramon Bartolo1, Bruno B Averbeck1

  • 1Laboratory of Neuropsychology, NIMH/NIH, Building 49 Room 1B80, 49 Convent Drive MSC 4415, Bethesda, MD 20892-4415, United States.

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Summary
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Organisms learn world models to navigate uncertainty and changing environments. This review covers advances in hidden-state, state-transition, and hierarchical inference for robust decision-making.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Computational Biology

Background:

  • Real-world data is often incomplete or noisy, creating uncertainty.
  • Environmental states change dynamically, complicating learning and decision-making.

Purpose of the Study:

  • To review recent advancements in model-based inference.
  • To explore the neural mechanisms underlying these inference processes.

Main Methods:

  • Review of recent scientific literature on model-based inference.
  • Focus on hidden-state inference, state transition inference, and hierarchical inference.

Main Results:

  • Organisms leverage environmental regularities to build world models.
  • Model-based inference enables robust decisions and adaptive behavior under uncertainty.

Conclusions:

  • Significant progress has been made in understanding how organisms infer hidden states and transitions.
  • Hierarchical inference plays a crucial role in complex decision-making and behavior adjustment.