The Attention Schema Theory of Consciousness
March 15, 2018 DOI: 10.4324/9781315676982-14 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Citations | 3 |
| Key points | Argues that Attention Schema Theory is compatible with many existing theories of consciousness, including higher-order thought, social theories, and integrated information, and can fill a logical gap because it contains nothing metaphysical. Proposes that AST explains how the brain claims to have awareness of some of its information content by positing a specific relationship between awareness and attention. |
Abstract
Although Attention Schema Theory (AST) may seem quite different from other theories of consciousness, it is not necessarily a rival. This chapter suggests it is compatible with many of the common, existing theories, and can add a crucial piece that fills a logical gap. AST has no metaphysical gap, because it contains nothing metaphysical. AST posits a specific kind of relationship between awareness and attention. The chapter summarizes AST and then discusses some of the ways it might make contact with three specific approaches to consciousness: higher-order thought, social theories of consciousness, and integrated information. It does not review the specific experimental evidence in support of AST, instead, it summarizes the concepts underlying the theory. The purpose of AST is to explain how the human brain claims to have so quirky and seemingly magical a property as an awareness of some of its information content.
Citations in the library
Cites 5
- Consciousness as Integrated Information: a Provisional Manifesto Biological Bulletin December 1, 2008
- The attention schema theory: a mechanistic account of subjective awareness Frontiers in Psychology July 4, 2016
- Human consciousness and its relationship to social neuroscience: A novel hypothesis. Cognitive Neuroscience 2011
- Separate neural definitions of visual consciousness and visual attention; a case for phenomenal awareness. Neural Networks 2004
- Consciousness and Self-Consciousness Advances in Consciousness Research March 20, 1996