On Competence and Meta-Knowledge

G. Wickler and L. Pryor

In this paper we define and attack the problem of competence assessment for intelligent agents. The basic idea is that we use meta-knowledge to infer competence. The main contribution of this paper is a single rule that allows efficient competence assessment for any system with explicit strategic knowledge. The reason for this is that strategic knowledge already contains the right information. Cognitive evidence supports our theory.


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