RESILIENT ARCHITECTURES TO FACILITATE BOTH FUNCTIONAL CONSCIOUSNESS AND PHENOMENAL CONSCIOUSNESS IN MACHINES
International Journal of Machine Consciousness December 1, 2009 DOI: 10.1142/s1793843009000220 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 6 |
| Key points | Argues that Global Workspace Theory offers a promising basis for machine consciousness, but existing architectures primarily address functional aspects, while phenomenal consciousness remains inadequately addressed. Proposes that future architectures need to incorporate mechanisms for global broadcast and learning modulation to approach both aspects. |
Abstract
Cognitive theories of consciousness should provide effective frameworks to implement machine consciousness. The Global Workspace Theory is a leading theory of consciousness which postulates that the primary function of consciousness is a global broadcast that facilitates recruitment of internal resources to deal with the current situation as well as modulate several types of learning. In this paper, we look at architectures for machine consciousness that have the Global Workspace Theory as their basis and discuss the requirements in such architectures to bring about both functional and phenomenal aspects of consciousness in machines.