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Engineering Neurosymbolic Artificial Intelligence: The Integration of Knowledge and Learning (Cognitive Computation & Engineering Series) - Softcover
Synopsis
Unlock the Future of AI
The next revolution in artificial intelligence is here. Engineering Neurosymbolic Artificial Intelligence explores the powerful fusion of deep learning and symbolic reasoning, paving the way for AI systems that can learn, reason, and generalize beyond pattern recognition.
This comprehensive guide takes you beyond conventional deep learning, introducing neurosymbolic AI—a cutting-edge approach that integrates machine learning with structured reasoning to create AI that is more explainable, adaptable, and efficient.
What’s Inside- The Evolution of AI: From rule-based systems to statistical learning and hybrid intelligence
- Mathematical Foundations: Logic, probabilistic reasoning, statistical learning theory, and optimization
- Knowledge Representation: Ontologies, knowledge graphs, and neural-symbolic models
- AI for Physics and Scientific Discovery: Physics-informed neural networks, differentiable physics engines, and hybrid reasoning systems
- Advanced Learning Mechanisms: Supervised, self-supervised, and zero-shot learning combined with symbolic methods
- Cutting-Edge Reasoning Systems: Theorem proving, probabilistic logic, and neural-symbolic inference
- Neural-Symbolic Integration: Combining deep learning with logical structures for superior AI performance
- Real-World Applications: Robotics, natural language understanding, visual intelligence, and more
Unlike general AI books, this work includes a dedicated mathematical section covering logic, set theory, probability, statistics, and optimization—ensuring a solid foundation for mastering neurosymbolic AI.
Who Should Read This Book?- AI Researchers & Engineers seeking to develop next-generation intelligent systems
- Data Scientists & Machine Learning Practitioners looking to enhance AI reasoning capabilities
- Students & Academics interested in a deeper understanding of AI beyond deep learning
- Industry Professionals in robotics, healthcare, finance, and automation who need advanced AI solutions
Deep learning alone has limits. Engineering Neurosymbolic Artificial Intelligence equips you with the knowledge to build AI systems that think, reason, and adapt—ushering in a new era of intelligent technology.
Order now and take your AI expertise to the next level.
"synopsis" may belong to another edition of this title.
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Engineering Neurosymbolic Artificial Intelligence (Paperback)
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Paperback. Condition: new. Paperback. Unlock the Future of AIThe next revolution in artificial intelligence is here. Engineering Neurosymbolic Artificial Intelligence explores the powerful fusion of deep learning and symbolic reasoning, paving the way for AI systems that can learn, reason, and generalize beyond pattern recognition.This comprehensive guide takes you beyond conventional deep learning, introducing neurosymbolic AI-a cutting-edge approach that integrates machine learning with structured reasoning to create AI that is more explainable, adaptable, and efficient.What's InsideThe Evolution of AI: From rule-based systems to statistical learning and hybrid intelligenceMathematical Foundations: Logic, probabilistic reasoning, statistical learning theory, and optimizationKnowledge Representation: Ontologies, knowledge graphs, and neural-symbolic modelsAI for Physics and Scientific Discovery: Physics-informed neural networks, differentiable physics engines, and hybrid reasoning systemsAdvanced Learning Mechanisms: Supervised, self-supervised, and zero-shot learning combined with symbolic methodsCutting-Edge Reasoning Systems: Theorem proving, probabilistic logic, and neural-symbolic inferenceNeural-Symbolic Integration: Combining deep learning with logical structures for superior AI performanceReal-World Applications: Robotics, natural language understanding, visual intelligence, and moreA Rigorous Mathematical ApproachUnlike general AI books, this work includes a dedicated mathematical section covering logic, set theory, probability, statistics, and optimization-ensuring a solid foundation for mastering neurosymbolic AI.Who Should Read This Book?AI Researchers & Engineers seeking to develop next-generation intelligent systemsData Scientists & Machine Learning Practitioners looking to enhance AI reasoning capabilitiesStudents & Academics interested in a deeper understanding of AI beyond deep learningIndustry Professionals in robotics, healthcare, finance, and automation who need advanced AI solutionsWhy This Book?Deep learning alone has limits. Engineering Neurosymbolic Artificial Intelligence equips you with the knowledge to build AI systems that think, reason, and adapt-ushering in a new era of intelligent technology.Order now and take your AI expertise to the next level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798309062362
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Engineering Neurosymbolic Artificial Intelligence: The Integration of Knowledge and Learning (Cognitive Computation & Engineering Series)
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Engineering Neurosymbolic Artificial Intelligence (Paperback)
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Paperback. Condition: new. Paperback. Unlock the Future of AIThe next revolution in artificial intelligence is here. Engineering Neurosymbolic Artificial Intelligence explores the powerful fusion of deep learning and symbolic reasoning, paving the way for AI systems that can learn, reason, and generalize beyond pattern recognition.This comprehensive guide takes you beyond conventional deep learning, introducing neurosymbolic AI-a cutting-edge approach that integrates machine learning with structured reasoning to create AI that is more explainable, adaptable, and efficient.What's InsideThe Evolution of AI: From rule-based systems to statistical learning and hybrid intelligenceMathematical Foundations: Logic, probabilistic reasoning, statistical learning theory, and optimizationKnowledge Representation: Ontologies, knowledge graphs, and neural-symbolic modelsAI for Physics and Scientific Discovery: Physics-informed neural networks, differentiable physics engines, and hybrid reasoning systemsAdvanced Learning Mechanisms: Supervised, self-supervised, and zero-shot learning combined with symbolic methodsCutting-Edge Reasoning Systems: Theorem proving, probabilistic logic, and neural-symbolic inferenceNeural-Symbolic Integration: Combining deep learning with logical structures for superior AI performanceReal-World Applications: Robotics, natural language understanding, visual intelligence, and moreA Rigorous Mathematical ApproachUnlike general AI books, this work includes a dedicated mathematical section covering logic, set theory, probability, statistics, and optimization-ensuring a solid foundation for mastering neurosymbolic AI.Who Should Read This Book?AI Researchers & Engineers seeking to develop next-generation intelligent systemsData Scientists & Machine Learning Practitioners looking to enhance AI reasoning capabilitiesStudents & Academics interested in a deeper understanding of AI beyond deep learningIndustry Professionals in robotics, healthcare, finance, and automation who need advanced AI solutionsWhy This Book?Deep learning alone has limits. Engineering Neurosymbolic Artificial Intelligence equips you with the knowledge to build AI systems that think, reason, and adapt-ushering in a new era of intelligent technology.Order now and take your AI expertise to the next level. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798309062362
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