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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.
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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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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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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? 
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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Resilience and active inference.

Mark Miller1, Mahault Albarracin2,3, Riddhi J Pitliya2,4

  • 1Center for Consciousness and Contemplative Studies, Monash University, Melbourne, VIC, Australia.

Frontiers in Psychology
|January 9, 2023
PubMed
Summary
This summary is machine-generated.

This study conceptualizes resilience using active inference, a physics-based approach for complex systems. It defines resilience through inertia, elasticity, and plasticity, mapping each to active inference principles for computational modeling.

Failed At:

2026-06-19T13:39:54.726443+00:00

Keywords:
active inferencecomplex adaptive systemelasticityinertiaplasticityresiliencerobustness

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