Neural-Symbolic Learning Systems
Foundations and Applications
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Beschreibung
Computing Science and Artificial Intelligence are concerned with producing devices that help and/or replace human beings in their daily activities. To be successful, adequate modelling of these activities needs to be carried out and this has accelerated the development of both old and new disciplines, including Logic and Computation, Neural Networks, Genetic Algorithms and Probabilistic/Casual Networks. This book looks at how these techniques could complement each other and how, by understanding the role of each in a particular application, we can pave the way towards the development of more effective intelligent systems.
Provides the first single-source introduction to the field of knowledge-based neuro-computing Includes real-world applications of neural-symbolic integration systems Includes supplementary material: sn.pub/extras
Autor*in
Artur S. d'Avila Garcez
Themen in »Neural-Symbolic Learning Systems«
Artificial neural networks Hybrid systems Machine learning Neural-symbolic integration artificial intelligence intelligence intelligent systems knowledge representation learning logic logic programming nonmonotonic reasoning