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Titlebook: A Geometric Approach to the Unification of Symbolic Structures and Neural Networks; Tiansi Dong Book 2021 The Editor(s) (if applicable) an

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发表于 2025-3-21 18:43:18 | 显示全部楼层 |阅读模式
期刊全称A Geometric Approach to the Unification of Symbolic Structures and Neural Networks
影响因子2023Tiansi Dong
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发行地址Presents a Geometric Approach to The Unification of Symbolic Structures and Neural Networks.Presents an up-to-date (as well as historical) look at the symbolic processing.Incorporates recent advances
学科分类Studies in Computational Intelligence
图书封面Titlebook: A Geometric Approach to the Unification of Symbolic Structures and Neural Networks; Tiansi Dong Book 2021 The Editor(s) (if applicable) an
影响因子The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua.It is indeed wonderful to see the reviving of the important theme Nural Symbolic Model. Given the popularity and prevalence of deep learning, symbolic processing is often neglected or downplayed. This book confronts this old issue head on, with a historical look, incorporating recent advances and new perspectives, thus leading to promising new methods and approaches. -Ron Sun (RPI), on Governing Board of Cognitive Science Society.Both for language and humor, approaches like those described in this book are the way to snickerdoodle wombats. -Christian F. Hempelmann (Texas A&M-Commerce) on Executive Board of International Society for Humor Studies.
Pindex Book 2021
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Albträume in der Psychotherapieearning systems simulates, dictates that any given data would be put into a coherent story, even at the cost of logic. Another system of the mind (System 2) manages logical thinking by following rules and structures, which symbolic AI simulates. How to combine Deep Learning with symbolic structures remains an open debate.
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https://doi.org/10.1007/978-3-476-99425-7res tree-structured hypernym relations. Each .-Ball represents a word-sense. One .-Ball is contained by another .-Ball, if and only if the word-sense represented by the first .-Ball is a hyponym of the word-sense represented by the second .-Ball.
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发表于 2025-3-22 15:50:12 | 显示全部楼层
A Geometric Approach to the Unification of Symbolic Structures and Neural Networks978-3-030-56275-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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The Transmission of Genetic Inheritance, symbolic structures and rules, in which thinking is reviewed as symbolic manipulation. Associated with this paradigm are features such as .. The connectionist approach is inspired by the physiology of the mind, in which thinking is reviewed as information fusion and transfer of a large network of neurons.
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Zur Wertungs- und Forschungsgeschichte,on reach 100%? We will create a new type of Geometric Connectionist Machines for Triple Classification task in Knowledge Graph reasoning. Our key question is: How shall we spatialize labeled tree structures onto vector embeddings?
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978-3-030-56277-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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