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论共生自治系统的哲学、认知和数学基础（SAS）

On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)

University of Calgary（卡尔加里大学）；Óbuda University（奥布达大学）；Simon Fraser University（西蒙菲莎大学）；University of Waterloo（滑铁卢大学）；Bogazici University（海峡大学）；Systems Research Institute, Polish Academy of Sciences（波兰科学院系统研究所）；City University of Hong Kong（香港城市大学）；New Jersey Institute of Technology（新泽西理工学院）；University of Toronto（多伦多大学）；Furaxa, Inc.（Furaxa公司）；South China University of Technology（华南理工大学）；De Montfort University（德蒙福特大学）；Toronto Research Centre, DRDC（加拿大国防研究与发展部多伦多研究中心）；Raytheon Technologies Research Center（雷神技术研究中心）
Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janu… 展开作者

Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel

备注：
Accepted by Phil. Trans. Royal Society (A): Math, Phys & Engg Sci., 379(219x), 2021, Oxford, UK
发表信息：
Phil. Trans. Royal Society (A): Math, Phys & Engg Sci., 379(219x), 2021, Oxford, UK
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摘要：

共生自治系统（SAS）是一种先进的智能和认知系统，它通过混合社会中人机交互的连贯共生来实现自主的集体智能。SAS新兴领域的基础研究引发了先进的通用人工智能技术，无需人为干预即可发挥作用，或者混合共生系统将人类和智能机器协同作用，形成连贯的认知系统。这项工作提出了一个理论框架的SAS支持的最新进展，在智能，认知，计算机和系统科学。SAS的特点是自治和共生系统的组成，采用生物-大脑-社会-启发和异质协同的结构和自治行为。本文探讨了它们的认知和数学基础。解决了在混合环境中无缝人机交互的挑战。探索基于SAS的集体智能，以增强人类的能力，通过自主机器智能走向下一代通用AI，自主计算机和值得信赖的关键任务智能系统。新兴的范例和工程应用的SAS阐述通过一个自主的知识学习系统，人类和认知机器人之间的共生工作。

英文摘要：

Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence enabled by coherent symbiosis of human-machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general AI technologies functioning without human intervention or hybrid symbiotic systems synergizing humans and intelligent machines into coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviors. This paper explores their cognitive and mathematical foundations. The challenge to seamless human-machine interactions in a hybrid environment is addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, autonomous computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via an autonomous knowledge learning system that symbiotically works between humans and cognitive robots.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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