optimoijan
Optimoijan is a theoretical construct in decision theory and artificial intelligence that describes an agent designed to optimize a composite objective: conventional utility and a justification quality measure. In this model, actions are evaluated not only by their expected outcomes but also by how well they can be justified under a given normative or epistemic standard.
The model uses state space S, action space A, outcome U(s,a) and justification score J(s,a) in [0,1].
Measurement of J includes consistency with model assumptions, transparency of inference paths, and parsimony; practically, J
Optimoijan is proposed as a framework for interpretable AI, policy design, and risk management, emphasizing accountability
Criticism centers on the difficulty of quantifying J, the potential for justification to come at the expense
See also Explainable AI; Interpretable machine learning; Decision theory; Value alignment.