论情感真理的概念

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. Schumann, F. Schang
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引用次数: 0

摘要

在本文中,我们通过在非阿基米德模型上定义行为命题,提出了对情感(语用)真理概念的解释[公式:见文本]。在这些模型中,可以为每个原子执行命题修复适当的行为场景。同时,每一个行为命题[公式:见文]都有一种适当形式的认知偏差[公式:见文],改变了[公式:见文]的意义,但这种偏差是与外界互动的结果或基础。因此,与原子信息命题(公式:见文)实现的通常领域(公式:见文)可能是有限的不同,我们总是有一个执行命题(公式:见文)实现的无限领域(公式:见文),其中[公式:见文]是一个信息命题,被某种认知偏见扭曲了[公式:见文]。这种语义允许我们将重点从人工智能(AI)转移到情感人工智能(EAI)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Notion of Emotional Truth
In this paper, we propose an explication of the notion of emotional (pragmatic) truth due to defining performative propositions on non-Archimedean models [Formula: see text]. In these models, it is possible to fix an appropriate behavioral scenario for each atomic performative proposition. Meanwhile, each performative proposition [Formula: see text] has an appropriate form of cognitive bias [Formula: see text] changing the meaning of [Formula: see text], but this bias is the result or foundation for interaction with the outside world. Therefore, instead of the usual domain [Formula: see text] of realization of atomic informative propositions [Formula: see text], which can be finite, we always have an infinite domain [Formula: see text] of realization of performative propositions [Formula: see text], where [Formula: see text] is an informative proposition, distorted by some kind of cognitive biases [Formula: see text]. This semantics allows us to shift the focus from artificial intelligence (AI) to emotional artificial intelligence (EAI).
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来源期刊
Parallel Processing Letters
Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
0.90
自引率
25.00%
发文量
12
期刊介绍: Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits
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