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Toward an Alternative Evolutionary Theory of Religion: Looking Past Computational Evolutionary Psychology to a Wider Field of Possibilities

Authors: Nathaniel F. Barrett;

Toward an Alternative Evolutionary Theory of Religion: Looking Past Computational Evolutionary Psychology to a Wider Field of Possibilities

Abstract

Cognitive science of the last half-century has been dominated by the computational theory of mind and its picture of thought as information processing. Taking this picture for granted, the most prominent evolutionary theories of religion of the last fifteen years have sought to understand human religiosity as the product or by-product of universal information processing mechanisms that were adaptive in our ancestral environment. The rigidity of such explanations is at odds with the highly context-sensitive nature of historical studies of religion, and thus contributes to the apparent tug-of-war between scientific and humanistic perspectives. This essay argues that this antagonism stems in part from a deep flaw of computational theory, namely its notion of information as pre-given and context-free. In contrast, non-computational theories that picture mind as an adaptive, interactive process in which information is jointly constructed by organism and environment offer an alternative approach to an evolutionary understanding of human religiosity, one that is compatible with historical studies and amenable to a wide range of inquiries, including some limited kinds of theological inquiry.

Keywords

Religion and Psychology, Knowledge, Mental Processes, Science, Adaptation, Psychological, Humanism, Cognitive Science, History, 20th Century, Psychological Theory, History, 21st Century

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    28
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    Top 10%
    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
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