- 256 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
In Understanding Religion through Artificial Intelligence, Justin E. Lane looks at the reasons why humans feel 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.
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Information
Table of contents
- Cover
- Half-Title
- Series
- Title
- Contents
- List of Illustrations
- Foreword
- Acknowledgments
- 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, Bird’s Eye Views of Christianity, and Using MAAI to Study Social Stability
- 7 Schisms and Sacred Values
- 8 The Future of Religion
- Notes
- References
- Index
- Copyright