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Starts 8 June 2025 06:21
Ends 8 June 2025
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Overview
Explore model-based reasoning techniques and their applications in neurosymbolic programming for scientific problem-solving.
Syllabus
- Introduction to Model-Based Reasoning
- Basics of Neurosymbolic Programming
- Techniques of Model-Based Reasoning in Neurosymbolic Contexts
- Applications in Scientific Problem-Solving
- Designing Models for Neurosymbolic Systems
- Tools and Frameworks for Neurosymbolic Programming
- Challenges and Future Directions
- Capstone Project
Definition and principles of model-based reasoning
Historical perspective and evolution in science
Overview of neurosymbolic programming
Synergy between neural networks and symbolic reasoning
Symbolic reasoning methods
Neural network integration
Constraint satisfaction and optimization
Case studies in physical sciences
Case studies in biological sciences
Case studies in computational social sciences
Representation of scientific knowledge
Building hybrid models
Verification and validation of models
Overview of popular tools and frameworks
Implementation environments and languages
Hands-on tutorial with a selected toolkit
Limitations of current approaches
Potential advancements and open research questions
Identifying a scientific problem
Applying neurosymbolic methods for model-based reasoning
Evaluation and presentation of findings
Subjects
Personal Development