Exploring Epistemological Modeling
My research delves into the computational representation of knowledge acquisition, validation, and uncertainty, bridging philosophical epistemology with advanced machine learning techniques.
Knowledge Acquisition: Gathering Information
My Writings on Epistemological Modeling
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Key Concepts in Epistemological Modeling
Knowledge Representation
Developing computational frameworks to encode, store, and manipulate knowledge in a way that captures nuanced understanding.
Uncertainty Quantification
Computational methods for measuring and representing the confidence and limitations of knowledge in AI systems.
Epistemic Validation
Developing algorithms to assess the reliability, source, and contextual validity of knowledge claims.
Meta-Cognitive Frameworks
Computational approaches that enable AI systems to reflect on and evaluate their own knowledge acquisition processes.