On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI:10.1109/ICCICC46617.2019.9146038

Yingxu Wang, K. Plataniotis, S. Kwong, Henry Leung, S. Yanushkevich, F. Karray, Ming Hou, N. Howard, R. Fiorini, P. Soda, E. Tunstel, Jianmin Wang, Shushma Patel

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引用次数: 12

Abstract

Autonomous systems underpinned by cognitive intelligence represent advanced forms of artificial intelligence studied in intelligence science, systems science, and computational intelligence. Traditional theories and technologies of autonomous systems put emphases on human-system interactions and humans in-the-loop. This paper explores the intelligence and system foundations of autonomous systems. It focuses on what structural and behavioral properties constitute the intelligence power of autonomous systems. It explains how system intelligence aggregates from reflexive, imperative, adaptive intelligence to autonomous and cognitive intelligence. A Hierarchical Intelligence Model (HIM) is introduced to elaborate the evolution of human and system intelligence as an inductive process. A set of properties of system autonomy is formally analyzed towards a wide range of autonomous system applications in computational intelligence and systems engineering.

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论自治系统:从反身性、命令性和适应性智能到自主性和认知智能

以认知智能为基础的自治系统代表了智能科学、系统科学和计算智能中研究的人工智能的高级形式。传统的自治系统理论和技术强调人与系统的相互作用和人在环。本文探讨了自治系统的智能和系统基础。它关注的是什么结构和行为属性构成了自治系统的智能。它解释了系统智能如何从反射性、命令性、适应性智能聚合到自主和认知智能。介绍了一个层次智能模型(HIM)，将人类和系统智能的进化描述为一个归纳过程。针对自主系统在计算智能和系统工程中的广泛应用，对系统自治的一系列特性进行了形式化分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

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