To the problem of digital immortality

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Olga Chernavskaya
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Abstract

The idea of reproducing personality by means of digital (neural network) technologies (“digital immortality”), together with the concept of Digital Twin (DT), still attracts great attention. Recent advances in the DT industry permit to expect the production of perfect “mirror” DT in the near future. We argue that the “immortality in the memory of other people” could be approached quite closely due to creating an analogue of personal DT by simulating the personality. For this purpose, it is necessary to compose the “constructive portrait” of a chosen person (by extracting the key features and traits of personality) and try to reproduce it by means of a chosen model. We are developing an original model Natural Constructive Cognitive Architecture (NCCA) that inherently provides the interpretation of logical and intuitive thinking, subconscious, etc. This model should be adjusted to specific set of knowledge inherent in a particular person (books, films, photographs, etc.), with an emphasis on personal lexicons (verbal, emotion, behavioral). NCCA contains a large set of free model parameters, which enables us to reproduce a wide range of personality features, from thinking style to temperament. It is shown that popular Generative Pre-trained Transformers (GPTs) have much in common with NCCA and could be adapted and used as an analog of DT of a specific person. We argue that the proposed program would provide the possibility to create an analog of DT, which could give an impression (at least, an illusion) of communication with the desired specific person.
数字永生问题
通过数字(神经网络)技术复制人格("数字永生")的想法,以及数字孪生(DT)的概念,仍然备受关注。数字孪生技术产业的最新进展使人们可以期待在不久的将来制造出完美的 "镜像 "数字孪生技术。我们认为,"他人记忆中的永生 "可以通过模拟人格来创建个人数字孪生的模拟物,从而接近 "他人记忆中的永生"。为此,有必要对所选人物进行 "建构画像"(通过提取关键特征和个性特征),并尝试通过所选模型对其进行再现。我们正在开发一个原创模型 "自然建构认知结构"(NCCA),该模型从本质上提供了对逻辑和直觉思维、潜意识等的解释。该模型应根据特定人的固有知识(书籍、电影、照片等)进行调整,重点是个人词典(语言、情感、行为)。NCCA 包含大量自由模型参数,这使我们能够再现从思维风格到气质等各种人格特征。研究表明,流行的生成预训练转换器(GPT)与 NCCA 有很多共同之处,可以进行调整并用作特定人的 DT 模拟。我们认为,所提议的程序将提供创建 DT 模拟的可能性,它可以给人一种与所需特定人员交流的印象(至少是一种错觉)。
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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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