scholarly journals The Natural Pathways to Atheism: Cognitive Biases, Cultures, and Costs

Religions ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 867
Author(s):  
Brandon Daniel-Hughes

Some recent scholarship in the bio-cultural sciences of religion has argued that atheism, like science and doctrinal theology, is less natural than religion. This scholarship, however, draws on problematic natural/unnatural and nature/culture binaries that denaturalize culture and reify a more basic essence/accident binary. Here, I argue that (1) while the suggestion that religion is more natural than atheism indicates something important, it reinforces assumptions about the naturalness of cognition and the unnaturalness of culture that confuse as much as they explain; (2) a clearer understanding of atheism requires the thorough naturalization of culture; (3) multiple pathways to atheism can then be understood as natural developments of both cognitive and cultural predispositions, and analyzed along continua of religion-reinforcing cultural scaffolding and religion-fostering cognitive intuitions; and (4) finally, I suggest an economic frame for better understanding atheist expressions that construes atheism, despite its relative costs and rarity, as a natural though expensive phenomenon. Because atheist expressions are differentiated by the mechanisms (cultural and cognitive) they utilize to pay the costs of overriding religion-fostering intuitions and religion-reinforcing cultural scaffolding, all atheist expressions are naturalized along with culture; however, the basic insight, indicated by the claim that religion is more natural than atheism, is preserved.

1968 ◽  
Vol 21 (1) ◽  
pp. 118-124
Author(s):  
Alexander A. Parker

2003 ◽  
Vol 8 (4) ◽  
pp. 252-265 ◽  
Author(s):  
Manuel G. Calvo ◽  
P. Avero ◽  
M. Dolores Castillo ◽  
Juan J. Miguel-Tobal

We examined the relative contribution of specific components of multidimensional anxiety to cognitive biases in the processing of threat-related information in three experiments. Attentional bias was assessed by the emotional Stroop word color-naming task, interpretative bias by an on-line inference processing task, and explicit memory bias by sensitivity (d') and response criterion (β) from word-recognition scores. Multiple regression analyses revealed, first, that phobic anxiety and evaluative anxiety predicted selective attention to physical- and ego-threat information, respectively; cognitive anxiety predicted selective attention to both types of threat. Second, phobic anxiety predicted inhibition of inferences related to physically threatening outcomes of ambiguous situations. And, third, evaluative anxiety predicted a response bias, rather than a genuine memory bias, in the reporting of presented and nonpresented ego-threat information. Other anxiety components, such as motor and physiological anxiety, or interpersonal and daily-routines anxiety made no specific contribution to any cognitive bias. Multidimensional anxiety measures are useful for detecting content-specificity effects in cognitive biases.


2007 ◽  
Author(s):  
Bruno L. Giordano ◽  
Stephen McAdams ◽  
John McDonnell

2014 ◽  
Author(s):  
Daryl R. Van Tongeren ◽  
Jeffrey D. Green ◽  
Timothy L. Hulsey ◽  
Cristine H. Legare ◽  
David G. Bromley ◽  
...  

Author(s):  
Maria A. Milkova

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.


2017 ◽  
Vol 12 (2) ◽  
pp. 316-330 ◽  
Author(s):  
Nathan Waddell
Keyword(s):  

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