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Springer Neural-Symbolic Learning Systems - AI Textbook

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Description

Explore the intersection of neural and symbolic paradigms in Artificial Intelligence with this comprehensive guide from Springer. As AI continues to develop devices that assist or replace human activities, neural-symbolic learning systems serve a central role by combining the advantages of both computing approaches. This book, part of the Perspectives in Neural Computing series, provides a deep introduction to the field and an overview of current research issues. The content is organized into three sections that cover major topics of neural-symbolic integration and theoretical advances. It is an essential resource for those studying the foundations and applications of these integrated systems.

Key Features

This Springer publication provides a comprehensive introduction to neural-symbolic learning systems.

The text covers the integration of both neural and symbolic paradigms in artificial intelligence.

Content is organized into three sections covering theoretical advances and research issues.

Part of the Perspectives in Neural Computing series for advanced study in AI.

Provides an overview of the latest research issues within the field of neural-symbolic systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
06 August 2002
Listed Since
08 January 2007

Barcode

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