EAN: 9783031391781

SPRINGERBRIEFS IN COMPUTER SCIENCE NEURO SYMB...

This book provides a broad overview of the key results and frameworks for various NSAI tasks as
well as discussing important application areas. This book also covers neuro symbolic reasoning
frameworks such as LNN  LTN  and NeurASP and learning frameworks. This would include
differential inductive logic programming  constraint learning and deep symbolic policy
learning. Additionally  application areas such a visual question answering and natural language
processing are discussed as well as topics such as verification of neural networks and symbol
grounding. Detailed algorithmic descriptions  example logic programs  and an online supplement
that includes instructional videos and slides provide thorough but concise coverage of this
important area of AI. Neuro symbolic artificial intelligence (NSAI) encompasses the combination
of deep neural networks with symbolic logic for reasoning and learning tasks. NSAI frameworks
are now capable of embedding prior knowledge in deep learning architectures  guiding the
learning process with logical constraints  providing symbolic explainability  and using
gradient-based approaches to learn logical statements. Several approaches are seeing usage in
various application areas. This book is designed for researchers and advanced-level students
trying to understand the current landscape of NSAI research as well as those looking to apply
NSAI research in areas such as natural language processing and visual question answering.
Practitioners who specialize in employing machine learning and AI systems for operational use
will find this book useful as well.

Aktuelle Preise zur EAN 9783031391781

Produktinformationen zur 9783031391781