Literature DB >> 30829515

How does aging impact decision making? The contribution of cognitive decline and strategic compensation revealed in a cognitive architecture.

Hanna B Fechner1, Thorsten Pachur2, Lael J Schooler2.   

Abstract

Older adults often face decline in cognitive resources. How does this impact their decision making-especially under high cognitive demands from concurrent activities? Do older adults' decision processes uniformly decline with increasing mental strain relative to younger adults, or do they compensate for decline by strategically reallocating resources? Using empirical data and computational modeling, we investigated older and younger adults' execution of two decision strategies in a multiattribute judgment task, while varying the demands from a concurrent task. One strategy (take-the-best) involves searching attributes in order of importance until one attribute favors one alternative; the other strategy (tallying) requires the integration of attributes favoring each alternative. Although older adults executed both strategies quite accurately, they performed worse and more slowly than younger adults. Moreover, when the concurrent demands increased, both age groups executed the strategies less accurately and more slowly. Crucially, when take-the-best required searching an increasing number of attributes, participants' accuracy and speed initially decreased with increasing search requirements, but accuracy recovered and the slowing lessened at the highest search requirements; this pattern was particularly prominent in older adults and most pronounced under the highest concurrent demands. Simulations with models in the cognitive architecture ACT-R showed how decline in specific cognitive resources can contribute to older adults' decrements in strategy execution. However, accommodating older adults' preserved strategy execution of take-the-best under the highest demands required assuming compensatory shifts in resource allocation. Thus, cognitive decline and strategic compensation applied under highest demands provided complementary accounts for older adults' decision behavior. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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Year:  2019        PMID: 30829515     DOI: 10.1037/xlm0000661

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  4 in total

1.  Applying the Inverse Efficiency Score to Visual-Motor Task for Studying Speed-Accuracy Performance While Aging.

Authors:  Yauhen Statsenko; Tetiana Habuza; Klaus Neidl-Van Gorkom; Nazar Zaki; Taleb M Almansoori
Journal:  Front Aging Neurosci       Date:  2020-12-09       Impact factor: 5.750

2.  Advancing Smart Home Awareness-A Conceptual Computational Modelling Framework for the Execution of Daily Activities of People with Alzheimer's Disease.

Authors:  Nikolaos Liappas; José Gabriel Teriús-Padrón; Rebeca Isabel García-Betances; María Fernanda Cabrera-Umpiérrez
Journal:  Sensors (Basel)       Date:  2021-12-27       Impact factor: 3.576

Review 3.  Strategies and cognitive reserve to preserve lexical production in aging.

Authors:  Monica Baciu; Sonja Banjac; Elise Roger; Célise Haldin; Marcela Perrone-Bertolotti; Hélène Lœvenbruck; Jean-François Démonet
Journal:  Geroscience       Date:  2021-05-10       Impact factor: 7.713

4.  The Role of Emotional vs. Cognitive Intelligence in Economic Decision-Making Amongst Older Adults.

Authors:  Kanchna Ramchandran; Daniel Tranel; Keagan Duster; Natalie L Denburg
Journal:  Front Neurosci       Date:  2020-05-26       Impact factor: 4.677

  4 in total

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