Foundations of Deep Learning. An introduction to the Special Issue

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Systems Research Pub Date : 2024-05-06 DOI:10.1016/j.cogsys.2024.101246
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Abstract

Deep learning approaches to mind, brain, and behavior raise new philosophical and methodological questions about the nature of artificial intelligence (AI) and its relationship to biological cognitive systems. The articles in this Special Issue combine insights, results and methodologies from philosophy, psychology, AI, neuroscience, linguistics, and cognitive science more generally, to explore some of those questions, including the relation between deep learning models and the brain, the testability, transparency and explanatory power of deep learning models, and their abilities for inductive reasoning, language processing and semantic understanding. By engaging with these foundational questions, the Special Issue as a whole contributes to illuminate deep learning, illustrating the need for, and fruitfulness of, interdisciplinary perspectives in cognitive systems research.

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深度学习的基础。特刊简介
针对心智、大脑和行为的深度学习方法提出了有关人工智能(AI)本质及其与生物认知系统关系的新的哲学和方法论问题。本特刊的文章结合了哲学、心理学、人工智能、神经科学、语言学和认知科学的见解、成果和方法,探讨了其中的一些问题,包括深度学习模型与大脑的关系,深度学习模型的可测试性、透明度和解释力,以及它们在归纳推理、语言处理和语义理解方面的能力。通过探讨这些基础性问题,特刊整体上有助于阐明深度学习,说明在认知系统研究中跨学科视角的必要性和富有成效性。
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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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