A Geometric Approach to the Unification of Symbolic Structures and Neural Networks

A Geometric Approach to the Unification of Symbolic Structures and Neural Networks - Studies in Computational Intelligence

1st Edition 2021

Hardback (25 Aug 2020)

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Publisher's Synopsis

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

Book information

ISBN: 9783030562748
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2021
Language: English
Number of pages: 145
Weight: 454g
Height: 235mm
Width: 155mm
Spine width: 11mm