The Curious Role of Cognitive Resources in Leadership

Chess playing has a significant role in participants’ resources allocation, both at a psychological level, but mostly concerning the cognitive resources. The aim of the present study was to examine the effect of chess playing on the intellectual development of primary-class students. 67 children were tested using the Raven Standard Progressive Matrices and were distributed in three different groups according to their experience with chess, namely: the control group (formed by students with no experience with chess playing), the beginners group (students with less than one year in chess playing training) and the advanced group (children with more than two years experience with chess). Results indicated that chess playing had a significant effect on the SPM performance, indicating that those in the advanced group performed significantly better than those in the control or in the beginners group. Conclusions of this study tap into the benefits of playing chess with a focus on the children’s’ cognitive development.

Download Full-text

Human Capital and Administrative Burden: The Role of Cognitive Resources in Citizen-State Interactions

SSRN Electronic Journal ◽

10.2139/ssrn.3481440 ◽

2019 ◽

Author(s):

Julian Christensen ◽

Lene Aarøe ◽

Martin Bækgaard ◽

Pamela Herd ◽

Donald P. Moynihan

Keyword(s):

Human Capital ◽

Cognitive Resources ◽

Administrative Burden

Download Full-text

Heart and Mind: Essential Components in Sound Decision-Making

Innovation in Aging ◽

10.1093/geroni/igaa057.1171 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 364-364

Author(s):

Michaela Clark ◽

Julie Hicks Patrick ◽

Michaela Reardon

Keyword(s):

Decision Making ◽

Decision Quality ◽

Cluster Solution ◽

Cognitive Resources ◽

Cluster Membership ◽

Essential Components ◽

Decision Making Processes ◽

Affective Components ◽

Heart And Mind

Abstract Consumer tasks permit an ecologically-valid context in which to examine the contributions of affective and cognitive resources to decision-making processes and outcomes. Although previous work shows that cognitive factors are important when individuals make decisions (Patrick et al., 2013; Queen et al.), the role of affective components is less clear. We examine these issues in two studies. Study 1 used data from 1000+ adults to inform a cluster analysis examining affective aspects (importance, meaningfulness) of making different types of decisions. A 4-cluster solution resulted. In Study 2, we used affective cluster membership and cognitive performance as predictors of experimental decision-making outcomes among a subset of participants (N = 60). Results of the regression (F(2, 40) = 6.51, p < .01, R2 = .25.) revealed that both the affective clusters (b = .37, p = .01) and cognitive ability (b = -.30, p = .04) uniquely contributed to the variance explained in decision quality. Age did not uniquely contribute. Results are discussed in the context of developing measures that enable us to move the field forward.

Download Full-text

I think, therefore I forgive: The role of reasoning in forgiving accidental harms

10.31234/osf.io/8gjth ◽

2018 ◽

Author(s):

Indrajeet Patil ◽

Bastien Trémolière

Keyword(s):

Individual Differences ◽

Cognitive Style ◽

Time Pressure ◽

Moral Judgments ◽

Third Party ◽

Cognitive Resources ◽

Reasoning Ability ◽

Total N ◽

Moral Condemnation

People experience a strong conflict while condemning someone who brought about an accidental harm, her innocent intention exonerating her, but the harmful outcome incriminating her. In the present research (total N = 4879), we explore how reasoning ability and cognitive style relate to how people choose to resolve this conflict and judge the accidental harms. A first set of studies (1a-c) showed that individual differences in cognitive style predicted severity of judgments in fictitious accidental harms scenarios, with more able (or willing) reasoners being less harsh in their judgments. A second set of studies (2a-c) relied on experimental manipulations of cognitive load (Dot matrix, Time pressure, Mortality Salience manipulations), aiming to tax available cognitive resources to participants while evaluating third-party harmful behaviors. These manipulations, however, failed to modulate people’s moral judgments for accidental harms. We discuss the importance of individual differences in reasoning ability in the assessment of accidental harms, and we also propose potential explanations for the failure of our experimental manipulations to affect severity of moral condemnation.

Download Full-text

The role of cognitive resources for subjective work ability and health in nursing

European Journal of Ageing ◽

10.1007/s10433-014-0331-y ◽

2015 ◽

Vol 12 (2) ◽

pp. 131-140 ◽

Cited By ~ 7

Author(s):

Andreas Ihle ◽

Erika Borella ◽

Marlen Rahnfeld ◽

Sandrine R. Müller ◽

Sören Enge ◽

...

Keyword(s):

Work Ability ◽

Cognitive Resources ◽

Subjective Work Ability

Download Full-text

Articulating the Role of Artificial Intelligence in Collective Intelligence: A Transactive Systems Framework

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181321651354c ◽

2021 ◽

Vol 65 (1) ◽

pp. 670-674

Author(s):

Pranav Gupta ◽

Anita Williams Woolley

Keyword(s):

Artificial Intelligence ◽

Collective Memory ◽

Collective Intelligence ◽

Cognitive Architecture ◽

Cognitive Resources ◽

Human Society ◽

Cognitive Architectures ◽

The Core ◽

Systems Framework

Human society faces increasingly complex problems that require coordinated collective action. Artificial intelligence (AI) holds the potential to bring together the knowledge and associated action needed to find solutions at scale. In order to unleash the potential of human and AI systems, we need to understand the core functions of collective intelligence. To this end, we describe a socio-cognitive architecture that conceptualizes how boundedly rational individuals coordinate their cognitive resources and diverse goals to accomplish joint action. Our transactive systems framework articulates the inter-member processes underlying the emergence of collective memory, attention, and reasoning, which are fundamental to intelligence in any system. Much like the cognitive architectures that have guided the development of artificial intelligence, our transactive systems framework holds the potential to be formalized in computational terms to deepen our understanding of collective intelligence and pinpoint roles that AI can play in enhancing it.

Download Full-text