| 书目名称 | Neuro Symbolic Reasoning and Learning | | 编辑 | Paulo Shakarian,Chitta Baral,Lahari Pokala | | 视频video | | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | .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 priorknowledge 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 us | | 出版日期 | Book 2023 | | 关键词 | Artificial intelligence; Machine Learning; Deep Learning; Fuzzy Logic; Neural networks; Neuro symbolic ar | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-39179-8 | | isbn_softcover | 978-3-031-39178-1 | | isbn_ebook | 978-3-031-39179-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:55:05
