000			02723nam a2200325Ia 4500
000			03774nam a22003495i 4500
001			978-3-031-39179-8
003			DE-He213
005			20240319121030.0
007			cr nn 008mamaa
008			230913s2023 sz | s |||| 0|eng d
020			_a9783031391798 _9978-3-031-39179-8
082			_a6.3
100			_aShakarian, Paulo. _935877
245			_aNeuro Symbolic Reasoning and Learning _cby Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXII, 119 p. 18 illus., 10 illus. in color. _bonline resource.
520			_aThis 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.
650			_aArtificial intelligence. _935878
650			_aArtificial Intelligence. _935879
650			_aMachine learning. _935880
650			_aMachine Learning. _935881
700			_aBaral, Chitta. _935882
700			_aPokala, Lahari. _935883
700			_aSimari, Gerardo I. _935884
700			_aXi, Bowen. _935885
856			_uhttps://doi.org/10.1007/978-3-031-39179-8
942			_cEBK _2ddc
999			_c15593 _d15593