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Neuro-Symbolic Artificial Intelligence Bridging Logic and Learning /

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...

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Збережено в:
Бібліографічні деталі
Автори: Bhuyan, Bikram Pratim (Автор), Ramdane-Cherif, Amar (Автор), Singh, Thipendra P. (Автор), Tomar, Ravi (Автор)
Співавтор: SpringerLink (Online service)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Редагування:1st ed. 2025.
Серія:Studies in Computational Intelligence, 1176
Предмети:
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.
Онлайн доступ:https://doi.org/10.1007/978-981-97-8171-3
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Зміст:
  • 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.

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