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arXiv 2510.09043cs.AI
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基于精神分析与人格理论的大语言模型人形人工意识设计

Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory

Hanyang University(翰阳大学);Miami University(迈阿密大学);The Catholic University of Korea College of Medicine(韩国天主教大学医学院);Artificial Consciousness Lab, MODULABS(意识实验室,MODULABS)

Sang Hun Kim, Jongmin Lee, Dongkyu Park, So Young Lee, Yosep Chong

AI总结:

本研究将精神分析与MBTI人格理论融入大语言模型,构建三种人工意识与16种人格角色,通过多情境评估验证其类人认知,为开发直觉、自适应的类人意识AI系统开辟新路径。

摘要:

人类意识在当前科学理解下仍是一个难以定义的概念。尽管大语言模型(LLMs)近期在翻译、摘要等多个领域展现出显著进展,但由于所谓的“幻觉”问题,人类意识并非当前前沿技术所能模仿的对象。因此,本研究提出一种新颖方法,通过将精神分析与迈尔斯-布里格斯类型指标(MBTI)整合到意识与人格模块的构建中,以应对这些挑战。我们基于精神分析原理开发了三种人工意识(自我意识、无意识和前意识)。此外,我们设计了16个具有不同人格的角色,代表十六种MBTI类型,并赋予需求、状态和记忆等若干属性。为判断我们模型的人工意识是否展现出类似人类的认知,我们创建了十个不同情境,涵盖情感理解、逻辑思维等七种属性。人工意识的决策过程及最终行动通过三种方式评估:问卷调查评估、通过ChatGPT的三级分类以及定性审查。定量与定性分析均表明,模型具有高度模拟意识的可能性,尽管不同角色和意识之间的响应差异并不十分显著。这意味着所开发的融合精神分析与人格理论元素的模型,能够导向构建更具直觉性和适应性、拥有人形意识的AI系统。因此,本研究有助于开辟在复杂认知情境中改善AI交互的新途径。

英文摘要:

Human consciousness is still a concept hard to define with current scientific understanding. Although Large Language Models (LLMs) have recently demonstrated significant advancements across various domains including translation and summarization, human consciousness is not something to imitate with current upfront technology owing to so-called hallucination. This study, therefore, proposes a novel approach to address these challenges by integrating psychoanalysis and the Myers-Briggs Type Indicator (MBTI) into constructing consciousness and personality modules. We developed three artificial consciousnesses (self-awareness, unconsciousness, and preconsciousness) based on the principles of psychoanalysis. Additionally, we designed 16 characters with different personalities representing the sixteen MBTI types, with several attributes such as needs, status, and memories. To determine if our model's artificial consciousness exhibits human-like cognition, we created ten distinct situations considering seven attributes such as emotional understanding and logical thinking. The decision-making process of artificial consciousness and the final action were evaluated in three ways: survey evaluation, three-tier classification via ChatGPT, and qualitative review. Both quantitative and qualitative analyses indicated a high likelihood of well-simulated consciousness, although the difference in response between different characters and consciousnesses was not very significant. This implies that the developed models incorporating elements of psychoanalysis and personality theory can lead to building a more intuitive and adaptable AI system with humanoid consciousness. Therefore, this study contributes to opening up new avenues for improving AI interactions in complex cognitive contexts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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