Artificial Conscious Intelligence

Author:

Reggia James A.1,Katz Garrett E.2,Davis Gregory P.3

Affiliation:

1. Department of Computer Science and UMIACS, University of Maryland, College Park, MD 20742 USA

2. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244 USA

3. Department of Computer Science, University of Maryland, College Park, MD 20742 USA

Abstract

The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here 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. In this context, 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.

Funder

ONR

Publisher

World Scientific Pub Co Pte Lt

Subject

General Medicine

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emerging Technologies in Industry 5.0: Sustainable Innovation for a Value-Driven Future;Springer Proceedings in Materials;2024

2. No-Go Theorems on Machine Consciousness;Journal of Artificial Intelligence and Consciousness;2023-09

3. Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values;Journal of Industrial and Production Engineering;2023-05-27

4. Artificial General Intelligence and Noncomputability: A Dynamical Framework;Journal of Artificial Intelligence and Consciousness;2023-02-06

5. The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning;Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society;2022-07-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3