On the Emergence of Autonomous Systems towards Deep Thinking Machines and General AI Driven by Abstract Intelligence Theories and Intelligent Mathematics

2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2021-10-29 DOI:10.1109/ICCICC53683.2021.9811299

Guoyin Wang

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引用次数: 0

Abstract

Thinking and inference are key essences of human intelligence as René Descartes stated that "I think therefore I am (1637)." The ultimate goal of General AI (GAI) [1], [2], [3], [4] is to enable machine thinking and inference [5], [6], [7], [8], [9] beyond data-based learning [10], [11] towards run-time intelligence generation [9], [12] driven by Autonomous Systems (AS) [13], [14] and cognitive robots [15]. Basic research on machine thinking is powered by Abstract Intelligence theories [16], [17], [18], [19], [20], [21] and Intelligent Mathematics (IM) [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] towards enabling symbiotic and collective intelligence [13], [33] and cognitive systems [34], [35], [36], [37], [38], [39].This keynote lecture presents theoretical foundations of and latest advances in machine thinking and inference driven by AS, GAI, and cognitive robots. Latest breakthroughs in IMs and run-time behavior generation by cognitive systems and AS are elaborated. Emerging paradigms of machine thinking autonomies are introduced to demonstrate the next generation of general AI and symbiotic intelligent systems. The advances in AS are expected to lead to a wide range of novel applications in deep machine thinking, machine knowledge learning, cognitive robots, inference computers, brain-inspired systems, and mission-critical intelligent systems.

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论抽象智能理论和智能数学驱动下面向深度思考机器和通用人工智能的自主系统的出现

思考和推理是人类智力的关键要素，正如笛卡尔所说:“我思故我在(1637)。”通用人工智能(GAI)[1]，[2]，[3]，[4]的最终目标是使机器思维和推理[5]，[6]，[7]，[8]，[9]超越基于数据的学习[10]，[11]，走向运行时智能生成[9]，[12]，由自治系统(AS)[13]，[14]和认知机器人[15]驱动。机器思维的基础研究由抽象智能理论[16]，[17]，[18]，[19]，[20]，[21]和智能数学(IM)[22]，[23]，[24]，[25]，[26]，[27]，[28]，[29]，[30]，[31]，[32]提供支持，以实现共生和集体智能[13]，[33]和认知系统[34]，[35]，[36]，[37]，[38]，[39]。本次主题演讲将介绍由AS、GAI和认知机器人驱动的机器思维和推理的理论基础和最新进展。阐述了认知系统和AS在IMs和运行时行为生成方面的最新突破。介绍了机器思维自主的新兴范例，以展示下一代通用人工智能和共生智能系统。人工智能的进步有望在深度机器思维、机器知识学习、认知机器人、推理计算机、大脑启发系统和关键任务智能系统等领域带来广泛的新应用。

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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2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

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