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Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI
Resource type
Book Section
Authors/contributors
- Chella, Antonio (Book Author)
- Reggia, James A. (Author)
- Katz, Garrett E. (Author)
- Davis, Gregory P. (Author)
Title
Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI
Abstract
The fields of artificial intelligence (AI) and artificial consciousness (AC) have largely developed separately, with different goals and criteria for success and with only a minimal exchange of ideas. In this chapter, we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a central concern in such matters. We describe our recent efforts to explore this hypothesis computationally and to identify associated computational correlates of consciousness. We then present ideas about how integrating concepts from AC into AI systems to develop an artificial conscious intelligence (ACI) could both produce more effective AI technology and contribute to a deeper scientific understanding of the fundamental nature of consciousness and intelligence.
Book Title
Series on Machine Consciousness
Volume
05
Publisher
WORLD SCIENTIFIC
Date
08/2023
Pages
225-252
Language
en
ISBN
9789811276668 9789811276675
Short Title
Artificial Conscious Intelligence
Accessed
3/7/25, 7:52 AM
Library Catalog
DOI.org (Crossref)
Extra
Citation
Reggia, J. A., Katz, G. E., & Davis, G. P. (2023). Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI. In A. Chella, Series on Machine Consciousness (Vol. 05, pp. 225–252). WORLD SCIENTIFIC. https://doi.org/10.1142/9789811276675_0008
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