Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning (Hardcover, 2024)

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.- 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.