“Artificial” or “machine” consciousness is the attempt to model and implement aspects of human cognition that are identified with the elusive and con- troversial phenomenon of consciousness. The chapter reviews the main trends and goals of artificial consciousness research, as environmental coupling, autonomy and resilience, phenomenal experience, semantics or intentionality of the first and sec- ond type, information integration, attention. The chapter also proposes a design for a general “consciousness oriented” architecture that addresses many of the discussed research goals. Comparisons with competing approaches are then presented.
CITATION STYLE
Crowder, J. A., Carbone, J. N., & Friess, S. A. (2014). Artificial Consciousness. In Artificial Cognition Architectures (pp. 79–107). Springer New York. https://doi.org/10.1007/978-1-4614-8072-3_6
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