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Freud and the algorithm: neuropsychoanalysis as a framework to understand artificial general intelligence
Palgrave Communications Pub Date : 2021-05-31 , DOI: 10.1057/s41599-021-00812-y
Luca M. Possati

The core hypothesis of this paper is that neuropsychoanalysis provides a new paradigm for artificial general intelligence (AGI). The AGI agenda could be greatly advanced if it were grounded in affective neuroscience and neuropsychoanalysis rather than cognitive science. Research in AGI has so far remained too cortical-centric; that is, it has privileged the activities of the cerebral cortex, the outermost part of our brain, and the main cognitive functions. Neuropsychoanalysis and affective neuroscience, on the other hand, affirm the centrality of emotions and affects—i.e., the subcortical area that represents the deepest and most ancient part of the brain in psychic life. The aim of this paper is to define some general design principles of an AGI system based on the brain/mind relationship model formulated in the works of Mark Solms and Jaak Panksepp. In particular, the paper analyzes Panksepp’s seven effective systems and how they can be embedded into an AGI system through Judea Pearl’s causal analysis. In the conclusions, the author explains why building a sub-cortical AGI is the best way to solve the problem of AI control. This paper is intended to be an original contribution to the discussion on AGI by elaborating positive arguments in favor of it.



中文翻译:

弗洛伊德和算法:神经精神分析作为理解通用人工智能的框架

本文的核心假设是神经精神分析为通用人工智能(AGI)提供了一种新的范式。如果 AGI 议程以情感神经科学和神经精神分析为基础,而不是认知科学,那么它可能会得到极大的推进。迄今为止,AGI 的研究仍然过于以皮质为中心。也就是说,它赋予了大脑皮层、我们大脑最外层和主要认知功能的活动特权。另一方面,神经精神分析和情感神经科学肯定了情绪和情感的中心地位——即,代表精神生活中大脑最深处和最古老部分的皮层下区域。本文的目的是定义基于 Mark Solms 和 Jaak Panksepp 作品中制定的大脑/思维关系模型的 AGI 系统的一些通用设计原则。特别是,本文分析了 Panksepp 的七个有效系统,以及如何通过 Judea Pearl 的因果分析将它们嵌入到 AGI 系统中。在结论中,作者解释了为什么构建皮层下的 AGI 是解决 AI 控制问题的最佳方式。本文旨在通过阐述支持 AGI 的积极论点,对 AGI 的讨论做出原创性贡献。作者解释了为什么构建皮层下 AGI 是解决 AI 控制问题的最佳方式。本文旨在通过阐述支持 AGI 的积极论点,对 AGI 的讨论做出原创性贡献。作者解释了为什么构建皮层下 AGI 是解决 AI 控制问题的最佳方式。本文旨在通过阐述支持 AGI 的积极论点,对 AGI 的讨论做出原创性贡献。

更新日期:2021-05-31
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