scholarly journals Empirical Evidence for Extended Cognitive Systems

2021 ◽  
Vol 45 (11) ◽  
Author(s):  
Luis H. Favela ◽  
Mary Jean Amon ◽  
Lorena Lobo ◽  
Anthony Chemero
Keyword(s):  
Empirical Evidence ◽  
Cognitive Systems

scholarly journals A neurocognitive model of ideological thinking

2021 ◽  
pp. 1-15
Author(s):  
Leor Zmigrod
Keyword(s):  
Empirical Evidence ◽  
Motivational Factors ◽  
Cognitive Systems ◽  
Social Forces ◽  
Low Level ◽  
Cognitive Principles ◽  
High Level ◽  
Ideological Attitudes ◽  
The Brain

Abstract Ideological behavior has traditionally been viewed as a product of social forces. Nonetheless, an emerging science suggests that ideological worldviews can also be understood in terms of neural and cognitive principles. The article proposes a neurocognitive model of ideological thinking, arguing that ideological worldviews may be manifestations of individuals’ perceptual and cognitive systems. This model makes two claims. First, there are neurocognitive antecedents to ideological thinking: the brain’s low-level neurocognitive dispositions influence its receptivity to ideological doctrines. Second, there are neurocognitive consequences to ideological engagement: strong exposure and adherence to ideological doctrines can shape perceptual and cognitive systems. This article details the neurocognitive model of ideological thinking and synthesizes the empirical evidence in support of its claims. The model postulates that there are bidirectional processes between the brain and the ideological environment, and so it can address the roles of situational and motivational factors in ideologically motivated action. This endeavor highlights that an interdisciplinary neurocognitive approach to ideologies can facilitate biologically informed accounts of the ideological brain and thus reveal who is most susceptible to extreme and authoritarian ideologies. By investigating the relationships between low-level perceptual processes and high-level ideological attitudes, we can develop a better grasp of our collective history as well as the mechanisms that may structure our political futures.

Some Empirical Evidence for Ecological Dissonance Theory

2000 ◽  
Vol 86 (2) ◽  
pp. 415-420 ◽  
Author(s):  
Duane I. Miller ◽  
Nancy Verhoek-Miller ◽  
J. Martin Giesen ◽  
Elisabeth Wells-Parker
Keyword(s):  
Conflict Resolution ◽  
Empirical Evidence ◽  
Cognitive Dissonance ◽  
Ecological Theory ◽  
Communication Style ◽  
Cognitive Systems ◽  
Cognitive Dissonance Theory ◽  
Environmental Systems ◽  
Dissonance Theory

Using Festinger's cognitive dissonance theory as a model, the extension to Barker's ecological theory, referred to as ecological dissonance theory, was developed. Designed to examine the motivational dynamics involved when environmental systems are in conflict with each other or with cognitive systems, ecological dissonance theory yielded five propositions which were tested in 10 studies. This summary of the studies suggests operationally defined measures of ecological dissonance may correlate with workers satisfaction with their jobs, involvement with their jobs, alienation from their work, and to a lesser extent, workers' conflict resolution behavior and communication style.

scholarly journals Toward Leveraging Human Connectomic Data in Large Consortia: Generalizability of fMRI-Based Brain Graphs Across Sites, Sessions, and Paradigms

2018 ◽  
Vol 29 (3) ◽  
pp. 1263-1279 ◽  
Author(s):  
Hengyi Cao ◽  
Sarah C McEwen ◽  
Jennifer K Forsyth ◽  
Dylan G Gee ◽  
Carrie E Bearden ◽  
...  
Keyword(s):  
Sample Size ◽  
Empirical Evidence ◽  
Effect Size ◽  
Statistical Power ◽  
Cognitive Systems ◽  
Network Integration ◽  
Motor Systems ◽  
Present Sample ◽  
Global Signal ◽  
Connectivity Strength

Abstract While graph theoretical modeling has dramatically advanced our understanding of complex brain systems, the feasibility of aggregating connectomic data in large imaging consortia remains unclear. Here, using a battery of cognitive, emotional and resting fMRI paradigms, we investigated the generalizability of functional connectomic measures across sites and sessions. Our results revealed overall fair to excellent reliability for a majority of measures during both rest and tasks, in particular for those quantifying connectivity strength, network segregation and network integration. Processing schemes such as node definition and global signal regression (GSR) significantly affected resulting reliability, with higher reliability detected for the Power atlas (vs. AAL atlas) and data without GSR. While network diagnostics for default-mode and sensori-motor systems were consistently reliable independently of paradigm, those for higher-order cognitive systems were reliable predominantly when challenged by task. In addition, based on our present sample and after accounting for observed reliability, satisfactory statistical power can be achieved in multisite research with sample size of approximately 250 when the effect size is moderate or larger. Our findings provide empirical evidence for the generalizability of brain functional graphs in large consortia, and encourage the aggregation of connectomic measures using multisite and multisession data.

scholarly journals A Neurocognitive Model of Ideological Thinking

2020 ◽  
Author(s):  
Leor Zmigrod
Keyword(s):  
Empirical Evidence ◽  
Motivational Factors ◽  
Cognitive Systems ◽  
Social Forces ◽  
Low Level ◽  
Cognitive Principles ◽  
High Level ◽  
Ideological Attitudes ◽  
The Brain

Ideological behaviour has been traditionally viewed as a product of social forces. Nonetheless, an emerging science is suggesting that ideological worldviews can also be understood in terms of neural and cognitive principles. The paper proposes a Neurocognitive Model of Ideological Thinking, which argues that ideological worldviews may be manifestations of individuals’ perceptual and cognitive systems. The Neurocognitive Model makes two essential claims. Firstly, there are neurocognitive antecedents to ideological thinking: the brain’s low-level neurocognitive dispositions influence its receptivity to ideological doctrines. And secondly, there are neurocognitive consequences to ideological engagement: strong exposure and adherence to ideological doctrines can shape perceptual and cognitive systems. The paper details the Neurocognitive Model of Ideological Thinking and synthesizes the empirical evidence in support of its claims. The model postulates that there are bidirectional processes between the brain and the ideological environment, and so it can address the roles of situational and motivational factors in ideologically-motivated action. This endeavour highlights that an interdisciplinary neurocognitive approach to ideologies can facilitate biologically-informed accounts of the ideological brain and thus reveal who is most susceptible to extreme and authoritarian ideologies. Consequently, by investigating the relationships between low-level perceptual processes and high-level ideological attitudes, we can develop a better grasp of our collective history as well as the mechanisms that may structure our political futures.

Challenges to the social motivation theory of autism: The dangers of counteracting an imprecise theory with even more imprecision

2019 ◽  
Vol 42 ◽  
Author(s):  
Mirko Uljarević ◽  
Giacomo Vivanti ◽  
Susan R. Leekam ◽  
Antonio Y. Hardan
Keyword(s):  
Empirical Evidence ◽  
Social Motivation ◽  
Motivation Theory ◽  
The Social

Abstract The arguments offered by Jaswal & Akhtar to counter the social motivation theory (SMT) do not appear to be directly related to the SMT tenets and predictions, seem to not be empirically testable, and are inconsistent with empirical evidence. To evaluate the merits and shortcomings of the SMT and identify scientifically testable alternatives, advances are needed on the conceptualization and operationalization of social motivation across diagnostic boundaries.

Integrating perspectives: How the development of second-personal competence lays the foundation for a second-personal morality

2020 ◽  
Vol 43 ◽  
Author(s):  
John Corbit ◽  
Chris Moore
Keyword(s):  
Empirical Evidence ◽  
Developmental Process ◽  
Focal Point ◽  
Personal Information ◽  
Personal Competence ◽  
Triadic Interactions ◽  
Personal Morality ◽  
Integrative Process

Abstract The integration of first-, second-, and third-personal information within joint intentional collaboration provides the foundation for broad-based second-personal morality. We offer two additions to this framework: a description of the developmental process through which second-personal competence emerges from early triadic interactions, and empirical evidence that collaboration with a concrete goal may provide an essential focal point for this integrative process.

Men Are Hierarchical, Women Are Egalitarian: An Implicit Gender Stereotype

2004 ◽  
Vol 63 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Marianne Schmid Mast
Keyword(s):  
Empirical Evidence ◽  
Implicit Association Test ◽  
Gender Stereotype ◽  
Association Test ◽  
Implicit Association ◽  
Two Samples

The goal of the present study was to provide empirical evidence for the existence of an implicit hierarchy gender stereotype indicating that men are more readily associated with hierarchies and women are more readily associated with egalitarian structures. To measure the implicit hierarchy gender stereotype, the Implicit Association Test (IAT, Greenwald et al., 1998) was used. Two samples of undergraduates (Sample 1: 41 females, 22 males; Sample 2: 35 females, 37 males) completed a newly developed paper-based hierarchy-gender IAT. Results showed that there was an implicit hierarchy gender stereotype: the association between male and hierarchical and between female and egalitarian was stronger than the association between female and hierarchical and between male and egalitarian. Additionally, men had a more pronounced implicit hierarchy gender stereotype than women.

Socially Shared Regulation of Learning: A Review

2015 ◽  
Vol 20 (3) ◽  
pp. 190-203 ◽  
Author(s):  
Ernesto Panadero ◽  
Sanna Järvelä
Keyword(s):  
Empirical Evidence ◽  
Learning Theory ◽  
Qualitative Data ◽  
Social Regulation ◽  
Observation Data ◽  
Optimal Form ◽  
Self Regulated Learning ◽  
The Past ◽  
Recorded Observation ◽  
Socially Shared Regulation

Abstract. Socially shared regulation of learning (SSRL) has been recognized as a new and growing field in the framework of self-regulated learning theory in the past decade. In the present review, we examine the empirical evidence to support such a phenomenon. A total of 17 articles addressing SSRL were identified, 13 of which presented empirical evidence. Through a narrative review it could be concluded that there is enough data to maintain the existence of SSRL in comparison to other social regulation (e.g., co-regulation). It was found that most of the SSRL research has focused on characterizing phenomena through the use of mixed methods through qualitative data, mostly video-recorded observation data. Also, SSRL seems to contribute to students’ performance. Finally, the article discusses the need for the field to move forward, exploring the best conditions to promote SSRL, clarifying whether SSRL is always the optimal form of collaboration, and identifying more aspects of groups’ characteristics.

Neuroscience and Ethics

2017 ◽  
Vol 64 (2) ◽  
pp. 82-92 ◽  
Author(s):  
S. Matthew Liao
Keyword(s):  
Empirical Evidence ◽  
Moral Judgments ◽  
Empirical Results ◽  
Joshua Greene

Abstract. A number of people believe that results from neuroscience have the potential to settle seemingly intractable debates concerning the nature, practice, and reliability of moral judgments. In particular, Joshua Greene has argued that evidence from neuroscience can be used to advance the long-standing debate between consequentialism and deontology. This paper first argues that charitably interpreted, Greene’s neuroscientific evidence can contribute to substantive ethical discussions by being part of an epistemic debunking argument. It then argues that taken as an epistemic debunking argument, Greene’s argument falls short in undermining deontological judgments. Lastly, it proposes that accepting Greene’s methodology at face value, neuroimaging results may in fact call into question the reliability of consequentialist judgments. The upshot is that Greene’s empirical results do not undermine deontology and that Greene’s project points toward a way by which empirical evidence such as neuroscientific evidence can play a role in normative debates.

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