This paper introduces a novel framework for epistemic logic, designed to model the dynamics of knowledge acquisition and loss. It defines "epistemic skills" as a metric for an agent's capacity to update knowledge, where gaining knowledge is seen as upskilling and forgetting as downskilling. The research also explores concepts of "knowability" and "forgettability" and analyzes the computational complexity of related problems. AI
IMPACT Introduces a theoretical framework for modeling knowledge dynamics in AI systems, potentially impacting agent reasoning and memory.
RANK_REASON The cluster contains an academic paper detailing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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