Explanatory Correlates of Consciousness: Theoretical and Computational Challenges
Cognitive Computation January 25, 2009 DOI: 10.1007/s12559-009-9007-x (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Review Peer reviewed |
|---|---|
| Key findings | Proposes that computational and theoretical approaches can identify 'explanatory correlates' underlying four fundamental properties of consciousness: segregation-integration coexistence, first-person perspective, affectivity, and intentional agency. Argues synthetic approaches may clarify consciousness's functions, embodiment's role, and the possibility of conscious artifacts. |
Abstract
Consciousness is a key feature of mammalian cognition and revealing its underlying mechanisms is one of the most important scientific challenges for the 21st century. In this article I review how computational and theoretical approaches can facilitate a transition from correlation to explanation in consciousness science. I describe progress towards identifying ‘explanatory correlates’ underlying four fundamental properties characterizing most if not all conscious experiences: (i) the co-existence of segregation and integration in conscious scenes, (ii) the emergence of a subjective first-person perspective, (iii) the presence of affective conscious contents, either transiently (emotion) or as a background (mood) and (iv) experiences of intention and agency that are characteristic of voluntary action. I also discuss how synthetic approaches can shed additional light on possible functions of consciousness, the role of embodiment in consciousness, and the plausibility of constructing a conscious artefact.