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Understanding religion through artificial intelligence : bonding and belief / Justin E. Lane.

By: Material type: TextTextSeries: Scientific studies of religion (Bloomsbury (Firm))Publisher: London [England] : Bloomsbury Academic, 2021Edition: First editionDescription: 1 online resource (272 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781350103580
  • 1350103586
  • 9781350103573
  • 1350103578
  • 135010356X
  • 9781350103566
Subject(s): Genre/Form: Additional physical formats: Print version:: Understanding religion through artificial intelligence.DDC classification:
  • 006.3 23
LOC classification:
  • Q335 .L354 2021eb
  • Q335 .L36 2021eb
Online resources:
Contents:
1. Introduction -- 2. Religions old and new -- 3. Bonding and belief -- 4. Identity and extremism -- 5. Artificial intelligence and religions in Silico -- 6. From AI in Silico, to AI in Situ: creating AI gurus, birds eye views of Christianity, and using MAAI to study social stability -- 7. Schisms and sacred values -- 8. The future of religion.
Summary: "In Understanding Religion through Artificial Intelligence, Justin E. Lane looks at the reasons why humans feel that they are part of a religious group, despite often being removed from other group members by vast distances or multiple generations. To achieve this, Lane offers a new perspective that integrates religious studies with psychology, anthropology and data science, as well as with research at the forefront of Artificial Intelligence (AI). After providing a critical analysis of approaches to religion and social cohesion, Lane proposes a new model for religious studies which he calls the 'Information Identity System'. This model focuses on the idea of conceptual ties: links between an individual's self-concept and the ancient beliefs of their religious group. Lane explores this idea through real-world examples, ranging from the rise in global Pentecostalism, to religious extremism and self-radicalization, to the effect of 9/11 on sermons. Lane uses this lens to show how we can understand religion and culture today, and how we can better contextualize the changes we see in the social world around us."-- Provided by publisher.
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1. Introduction -- 2. Religions old and new -- 3. Bonding and belief -- 4. Identity and extremism -- 5. Artificial intelligence and religions in Silico -- 6. From AI in Silico, to AI in Situ: creating AI gurus, birds eye views of Christianity, and using MAAI to study social stability -- 7. Schisms and sacred values -- 8. The future of religion.

"In Understanding Religion through Artificial Intelligence, Justin E. Lane looks at the reasons why humans feel that they are part of a religious group, despite often being removed from other group members by vast distances or multiple generations. To achieve this, Lane offers a new perspective that integrates religious studies with psychology, anthropology and data science, as well as with research at the forefront of Artificial Intelligence (AI). After providing a critical analysis of approaches to religion and social cohesion, Lane proposes a new model for religious studies which he calls the 'Information Identity System'. This model focuses on the idea of conceptual ties: links between an individual's self-concept and the ancient beliefs of their religious group. Lane explores this idea through real-world examples, ranging from the rise in global Pentecostalism, to religious extremism and self-radicalization, to the effect of 9/11 on sermons. Lane uses this lens to show how we can understand religion and culture today, and how we can better contextualize the changes we see in the social world around us."-- Provided by publisher.

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Description based on online resource; title from digital title page (viewed on May 24, 2021).

WorldCat record variable field(s) change: 050

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