先进技术与数学元认知:现在和未来的方向。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Alexios Kouzalis , Antonios Antoniou , Nicos Rossides , Rita Panaoura , Priyanka Yadav
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引用次数: 0

摘要

数学认知、元认知和先进技术的交汇点是一个对人类学习和人工智能具有深远影响的前沿领域。本文追溯了这些概念从毕达哥拉斯派和亚里士多德到现代认知科学的历史渊源,并探讨了它们与当代技术应用的相关性。我们研究了毕达哥拉斯人将数学视为理解宇宙的基础的观点,以及亚里士多德在逻辑和分类方面的贡献如何塑造了我们目前对数学认知和元认知的理解。本文探讨了布尔逻辑在计算过程中的作用及其与人类逻辑推理的关系,以及贝叶斯推理和模糊逻辑在模拟人类认知和决策中的不确定性方面的意义。我们还探讨了新兴的化学人工智能领域及其潜在应用。我们主张将数学元认知与包括人工智能和机器人技术在内的先进技术相结合,同时明确了这种结合所带来的多方面益处和挑战。本文探讨了将认知科学与先进技术相结合的基本研究方向,讨论了在教育、医疗保健和商业管理中的应用。我们提出了利用特定认知任务开发认知机器人的建议,并探讨了这些进步的伦理意义。我们的分析强调了跨学科合作的必要性,以充分发挥这种整合的潜力,同时降低潜在风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced technologies and mathematical metacognition: The present and future orientation

The intersection of mathematical cognition, metacognition, and advanced technologies presents a frontier with profound implications for human learning and artificial intelligence. This paper traces the historical roots of these concepts from the Pythagoreans and Aristotle to modern cognitive science and explores their relevance to contemporary technological applications. We examine how the Pythagoreans' view of mathematics as fundamental to understanding the universe and Aristotle's contributions to logic and categorization have shaped our current understanding of mathematical cognition and metacognition. The paper investigates the role of Boolean logic in computational processes and its relationship to human logical reasoning, as well as the significance of Bayesian inference and fuzzy logic in modelling uncertainty in human cognition and decision-making. We also explore the emerging field of Chemical Artificial Intelligence and its potential applications. We argue for unifying mathematical metacognition with advanced technologies, including artificial intelligence and robotics, while identifying the multifaceted benefits and challenges of such unification. The present paper examines essential research directions for integrating cognitive sciences and advanced technologies, discussing applications in education, healthcare, and business management. We provide suggestions for developing cognitive robots using specific cognitive tasks and explore the ethical implications of these advancements. Our analysis underscores the need for interdisciplinary collaboration to realize the full potential of this integration while mitigating potential risks.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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