预防性心理保健：环境智能环境的复杂系统框架

IF 2.1 3区心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Cognitive Systems Research Pub Date : 2023-12-01 DOI:10.1016/j.cogsys.2023.101199

Ben White , Inês Hipólito

引用次数: 0

摘要

我们为环境智能环境（ASE）的设计和使用提供了一个框架，以支持预防性心理保健。借鉴复杂系统理论（CST）和 "E "认知科学（ECS），我们认为智能环境有可能发挥预防作用，支持良好的心理健康，即支持避免所谓 "打击状态"（根据复杂系统理论，一般认为 "打击状态 "是精神病理学的基础）的动力。在此，我们以最近被称为 "心灵技术问题 "的讨论为框架。我们将对 ASE 系统进行定义和特征描述，举出一些例子，并简要介绍一些现有的理论工作。在介绍了 CST 的基本术语之后，本文将继续应用 CST 来解释对不断变化的（智能）环境的发展适应。从吸引点和排斥点（或局部最小值/局部最大值）之间的动态几何角度来理解 ASE 的导航，使我们能够开发神经技术，通过预测即将发生的转变来取得良好的症状结果，即何时应采取预防性干预措施（即破坏稳定），从而增强临床干预措施。我们还为此类神经技术的开发和设计提供了明确的方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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

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.