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1. |
Record Nr. |
UNINA9910983378003321 |
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Autore |
Bhuyan Bikram Pratim |
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Titolo |
Neuro-Symbolic Artificial Intelligence : Bridging Logic and Learning / / by Bikram Pratim Bhuyan, Amar Ramdane-Cherif, Thipendra P. Singh, Ravi Tomar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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9789819781713 |
9789819781706 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (353 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1176 |
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Altri autori (Persone) |
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Ramdane-CherifAmar |
SinghThipendra P |
TomarRavi |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Neural networks (Computer science) |
Computational intelligence |
Robotics |
User interfaces (Computer systems) |
Human-computer interaction |
Artificial Intelligence |
Mathematical Models of Cognitive Processes and Neural Networks |
Computational Intelligence |
User Interfaces and Human Computer Interaction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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The Emergence of Neuro-Symbolic Artificial Intelligence -- Neuro-Symbolic AI: The Fusion of Symbolic Reasoning and Machine Learning -- Neuro-Symbolic AI: The Integration of Continuous Learning and Discrete Reasoning -- Knowledge Representation in Artificial Intelligence -- Rule-based Systems and Expert Systems -- Knowledge Graphs: Representation and Reasoning -- Feedforward Neural Networks and Backpropagation -- Convolution in Neural Networks -- Recurrent Neural Networks (RNNs): Capturing the Dynamics of Sequences -- Overview of Neuro-Symbolic Integration Frameworks -- |
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Learning from Symbolic Knowledge for Neural Networks -- Neural Extraction of Symbolic Knowledge -- Graph Neural Networks in Neural-Symbolic Computing -- Rule-based Reasoning in Neural Networks -- Common Sense Reasoning for Neuro-Symbolic AI -- Explainable and Trustworthy AI with Neuro-Symbolic Approaches -- Neuro-Symbolic AI in various Domains -- Towards Artificial General Intelligence? -- Learning and Reasoning over Higher Ordered Geometrical Structures -- Key Takeaways from Neuro-Symbolic AI. |
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Sommario/riassunto |
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This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI. |
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2. |
Record Nr. |
UNINA9911007368703321 |
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Autore |
Murray Raymond LeRoy <1920-> |
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Titolo |
Nuclear energy : an introduction to the concepts, systems, and applications of nuclear processes / / Raymond L. Murray |
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Pubbl/distr/stampa |
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Amsterdam ; ; Boston, : Butterworth-Heinemann/Elsevier, c2009 |
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ISBN |
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9786611982126 |
9781281982124 |
1281982121 |
9780080919447 |
0080919448 |
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Edizione |
[6th ed.] |
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Descrizione fisica |
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1 online resource (551 p.) |
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Disciplina |
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Soggetti |
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Nuclear engineering |
Nuclear energy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Nuclear Energy An Introduction to the Concepts, Systems, and Applications of Nuclear Processes Sixth Edition; Copyright Page; Dedication Page; Contents; Preface; About the Author; Part 1: Basic Concepts; Chapter 1: Energy; 1.2 Thermal Energy; 1.3 Radiant Energy; 1.5 Energy and the World; 1.6 Summary; 1.8 General References; 1.9 References; Chapter 2: Atoms and Nuclei; 2.1 Atomic Theory; 24.1 Components of Electrical Power Cost; 2.6 Sizes and Masses of Nuclei; 13.6 Summary; Chapter 3: Radioactivity; 3.1 Radioactive Decay; 3.2 The Decay Law; 3.4 Measurement of Half-Life |
3.6 Exercises3.7 References; Chapter 4: Nuclear Processes; 4.6 Neutron Migration; Chapter 5: Radiation and Materials; 5.6 Exercises; Chapter 6: Fission; 6.3 Byproducts of Fission; 6.5 Summary; 6.6 Exercises; Chapter 7: Fusion; 2.2 Gases; 7.2 Electrostatic and Nuclear Forces; 7.3 Thermonuclear Reactions in a Plasma; 7.4 Summary; Chapter 8: Particle Accelerators; 8.1 Electric and Magnetic Forces; 8.2 High-Voltage Machines; 4.4 Particle Attenuation; 8.4 Cyclotron and Betatron; 8.6 Spallation; 10.6 Pulse Height Analysis; 8.9 References; Chapter 9: Isotope Separators; 9.3 Gas Centrifuge |
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9.4 Laser Isotope Separation9.7 Exercises; Chapter 10: Radiation Detectors; 10.1 Gas Counters; 10.4 Solid State Detectors; 10.5 Statistics of Counting; 10.7 Advanced Detectors; 17.7 Neutron Activation Analysis; 10.11 References; Chapter 11: Neutron Chain Reactions; 11.1 Criticality and Multiplication; 11.6 The Natural Reactor; 11.7 Summary; 11.8 Exercises; Chapter 12: Nuclear Heat Energy; 12.3 Steam Generation and Electrical Power Production; 12.6 Exercises; 12.7 References; Chapter 13: Breeder Reactors; 13.1 The Concept of Breeding; 12.2 Heat Generation and Removal |
13.2 Isotope Production and Consumption13.4 Integral Fast Reactor; Chapter 14: Fusion Reactors; 14.2 Requirements for Practical Fusion Reactors; 14.3 Magnetic Confinement Machines; 14.4 Inertial Confinement Machines; 14.6 Prospects for Fusion; Part 3: Nuclear Energy and Man; Chapter 15: The History of Nuclear Energy; 15.1 The Rise of Nuclear Physics; 15.2 The Discovery of Fission; 15.3 The Development of Nuclear Weapons; 15.4 Reactor Research and Development; 15.5 The Nuclear Controversy; 15.6 Summary; 15.7 Exercises; 15.8 References; Chapter 16: Biological Effects of Radiation |
12.1 Methods of Heat Transmission16.1 Physiological Effects; 11.4 Reactor Types; 16.4 Sources of Radiation Dosage; 16.6 Summary; 16.7 Exercises; Chapter 17: Information from Isotopes; 17.1 Stable and Radioactive Isotopes; 17.6 Dating; 18.6 Insect Control; Chapter 18: Useful Radiation Effects; 18.4 Pathogen Reduction; 18.7 Applications in Chemistry; 18.12 Summary; Chapter 19: Reactor Safety and Security; 19.1 Neutron Population Growth; 19.4 Probabilistic Risk Assessment; 9.6 Summary; 19.6 The Chernobyl Accident; Chapter 20: Nuclear Propulsion; 20.1 Reactors for Naval Propulsion; 20.5 Summary |
20.6 Exercises |
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Sommario/riassunto |
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Nuclear Energy, 6th Edition is one of the most popular texts ever published due to its clear, accessible and comprehensive coverage of basic nuclear physics and chemistry. Nuclear energy is energy derived from the controlled release of nuclear transformation of materials, generally the decay of unstable neutrons during fission or fusion of atoms; therefore, this newest edition will continue the tradition of offering a holistic treatment of everything the undergraduate engineering student needs to know in a clear, concise overview of nuclear physics and chemistry, from the behavior of is |
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