LEADER 04615nam 22007335 450 001 9910983378003321 005 20241223115522.0 010 $a9789819781713$b(electronic bk.) 010 $z9789819781706 024 7 $a10.1007/978-981-97-8171-3 035 $a(MiAaPQ)EBC31856124 035 $a(Au-PeEL)EBL31856124 035 $a(CKB)37077735000041 035 $a(DE-He213)978-981-97-8171-3 035 $a(OCoLC)1482049451 035 $a(EXLCZ)9937077735000041 100 $a20241223d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeuro-Symbolic Artificial Intelligence $eBridging Logic and Learning /$fby Bikram Pratim Bhuyan, Amar Ramdane-Cherif, Thipendra P. Singh, Ravi Tomar 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (353 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1176 311 08$aPrint version: Bhuyan, Bikram Pratim Neuro-Symbolic Artificial Intelligence Singapore : Springer,c2025 9789819781706 327 $aThe 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 -- 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. 330 $aThis book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1176 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aComputational intelligence 606 $aRobotics 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aArtificial Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aComputational Intelligence 606 $aRobotics 606 $aUser Interfaces and Human Computer Interaction 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) 615 0$aComputational intelligence. 615 0$aRobotics. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aComputational Intelligence. 615 24$aRobotics. 615 24$aUser Interfaces and Human Computer Interaction. 676 $a006.3 700 $aBhuyan$b Bikram Pratim$01784307 701 $aRamdane-Cherif$b Amar$01427075 701 $aSingh$b Thipendra P$01373181 701 $aTomar$b Ravi$01427077 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983378003321 996 $aNeuro-Symbolic Artificial Intelligence$94315979 997 $aUNINA