Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Overview

Delve into the realm of neuro-symbolic concepts, focusing on their role as compositional abstractions in artificial intelligence systems. This insightful course offered on YouTube intricately combines symbolic programs with neural networks, streamlining the processes of learning, reasoning, and planning.

Immerse yourself in the cutting-edge fusion of neural networks and symbolic programs to propel AI capabilities, optimizing how intelligent systems acquire knowledge and make decisions.

Perfect for those pursuing advancements in AI and computer science, this course provides valuable insights into next-generation AI methodologies.

Explore related categories such as Artificial Intelligence Courses and Computer Science Courses, and enhance your understanding of AI through this innovative approach.

Syllabus

• Introduction to Neuro-Symbolic AI
Overview of neuro-symbolic systems
Historical context and evolution
Key motivations and benefits
• Neural Networks: Foundations
Basics of neural network architectures
Training methodologies
Limitations in reasoning and interpretability
• Symbolic AI: Basics and Techniques
Logic and knowledge representation
Search algorithms and planning
Symbol manipulation and inference
• Integration of Neural and Symbolic Approaches
Concepts of hybrid systems
Methods for combining neural and symbolic components
Case studies of existing neuro-symbolic systems
• Learning in Neuro-Symbolic Systems
Compositional learning techniques
Transfer and multitask learning in hybrid systems
Handling uncertainty and probabilistic reasoning
• Reasoning with Neuro-Symbolic Concepts
Explanation generation and interpretability
Logical reasoning with neural networks
Temporal and spatial reasoning
• Planning in Neuro-Symbolic Systems
Planning strategies and algorithms
Hierarchical models and decision-making
Real-world applications and challenges
• Applications and Case Studies
Natural language understanding and processing
Computer vision and image understanding
Robotics and autonomous systems
• Future Directions and Research Opportunities
Current trends and open problems
Ethics and societal impacts of neuro-symbolic AI
Opportunities for cross-disciplinary research
• Course Wrap-up and Project Presentations
Review of key concepts and learnings
Student project presentations
Feedback and discussion on future learning paths

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Subjects

Computer Science