基于神经科学的人工智能框架解读神经金融的复杂性

Christos Bormpotsis;Michael Nanos;Asma Patel
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引用次数: 0

摘要

金融决策是个人繁荣和全球经济稳定的基石,很难理解,因为它是一个与情绪状态和行为偏见有关的复杂认知过程。本文旨在解读金融行为背后的神经机制,以推动神经金融的理论和实证研究进展。因此,为了更好地捕捉金融行为,本文提出了一个创新的框架,将神经金融学、神经科学和生物启发的计算模型(如MCoRNNMCD-ANN)连接起来。重点研究领域包括神经过程驱动决策的作用,认知偏好对判断的影响,以及生物启发的人工智能模型增强理解的潜力。这项研究的社会意义在于鼓励公平、稳定和知情的金融体系,同时解决神经金融和神经科学知情人工智能交叉领域的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance
Financial decision-making, a cornerstone of individual prosperity and global economic stability, is hard to comprehend because it is a complex cognitive process concerned with emotional state and behavioural bias. This paper aims to decode the neural mechanisms behind financial behaviour to advance theoretical and empirical progress in neurofinance. Thus, to better capture financial behaviour, this article proposes an innovative framework that bridges neurofinance, neuroscience, and bio-inspired computational models, like the MCoRNNMCD-ANN. Key research areas include the role of neural processes driving decisions, the effect of cognitive preferences on judgment, and the potential of bio-inspired AI models to enhance understanding. The societal implications of this research seek to encourage equitable, stable and informed financial systems while addressing challenges at the intersection of neurofinance and neuroscience-informed AI.
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