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

A Geometric Approach to the Unification of Symbolic Structures and Neural Networks
Author: Tiansi Dong
Publisher:
Total Pages:
Release: 2021
Genre: Electronic books
ISBN: 9783030562762

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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.


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

A Geometric Approach to the Unification of Symbolic Structures and Neural Networks
Author: Tiansi Dong
Publisher: Springer Nature
Total Pages: 155
Release: 2020-08-24
Genre: Technology & Engineering
ISBN: 3030562751

Download A Geometric Approach to the Unification of Symbolic Structures and Neural Networks Book in PDF, ePub and Kindle

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


The Cambridge Handbook of Computational Cognitive Sciences

The Cambridge Handbook of Computational Cognitive Sciences
Author: Ron Sun
Publisher: Cambridge University Press
Total Pages: 1804
Release: 2023-04-30
Genre: Psychology
ISBN: 1108617433

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The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.


Machine Learning and Image Interpretation

Machine Learning and Image Interpretation
Author: Terry Caelli
Publisher: Springer Science & Business Media
Total Pages: 441
Release: 2013-11-21
Genre: Technology & Engineering
ISBN: 1489918167

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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.


Artificial General Intelligence

Artificial General Intelligence
Author: Matthew Iklé
Publisher: Springer
Total Pages: 311
Release: 2018-08-02
Genre: Computers
ISBN: 3319976761

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This book constitutes the proceedings of the 11th International Conference on Artificial General Intelligence, AGI 2018, held in Prague, Czech Republic, in August 2018. The 19 regular papers and 10 poster papers presented in this book were carefully reviewed and selected from 52 submissions. The conference encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. As the AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever.


Neural-Symbolic Learning Systems

Neural-Symbolic Learning Systems
Author: Artur S. d'Avila Garcez
Publisher: Springer Science & Business Media
Total Pages: 276
Release: 2012-12-06
Genre: Computers
ISBN: 1447102118

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Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.