QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions

QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions

The work discusses the application of an Artificial Intelligence technique called Qualitative Reasoning (QR) and a process-based ontology in constructing qualitative models for organic reaction simulation. We present a framework architecture that uses the QPT ontology as the knowledge representation...

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Bibliographic Details
Main Authors: Alicia Tang Y.C., Zain S.Mohd., Rahman N.A., Abdullah R.
Other Authors: 36806985400
Format: Conference paper
Published: 2023
Subjects:
Artificial intelligence
Information technology
Information theory
Knowledge based systems
Knowledge representation
Ontology
Artificial intelligence techniques
Automated model constructions
Chemical theories
Framework architectures
Molecular patterns
Organic reactions
Qualitative models
Qualitative reasonings
Reasoning engines
Reasoning processes
Automata theory
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