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Cognitive Learning01:21

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Learning to choose: Cognitive aging and strategy selection learning in decision making.

Rui Mata1, Bettina von Helversen, Jörg Rieskamp

  • 1Department of Psychology, University of Lisbon, Portugal. ruimata@ruimata.com

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Cognitive aging impacts decision-making strategy selection. Older adults struggle with complex environments, showing that age effects depend on task demands.

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Area of Science:

  • Cognitive psychology
  • Neuroscience of aging
  • Decision science

Background:

  • Learning from experience is crucial for decision making.
  • Strategy selection adapts based on feedback and environmental cues.
  • Understanding age-related changes in cognitive strategies is important.

Purpose of the Study:

  • To investigate how age affects the ability to learn and select decision strategies.
  • To compare strategy selection learning in younger and older adults.
  • To determine if environmental complexity influences age-related differences in strategy selection.

Main Methods:

  • A probabilistic inference task was used to assess decision making.
  • Computational modeling of strategy selection learning was employed.
  • Performance of younger and older adults was compared.

Main Results:

  • Older adults demonstrated poorer overall decision performance than younger adults.
  • Older adults were particularly impaired in environments requiring cognitively demanding strategies.
  • Strategy selection learning varied between age groups based on environmental structure.

Conclusions:

  • Cognitive aging significantly affects strategy selection learning.
  • The impact of aging on decision-making strategies is contingent on the decision environment's complexity.
  • Task demands play a critical role in age-related differences in adaptive strategy selection.