Herbert Simon proves that decision-making agents possess limited cognitive capacity and information, seeking satisfactory rather than optimal results. This principle establishes the realistic baseline for artificial agent design.
Part of the 26 Structural Foundations: How We Teach Machines to Understand Purpose and Human Intent archive. HistoricallyVerified
Top 5 Structural Foundations: Pure Intent
- The Objective Function Shift — Mathematical programming formalizes the objective function as the explicit mathematical expression o...
- Instrumental Convergence Theory — Nick Bostrom isolates basic convergent instrumental goals, proving that any intelligent agent will n...
- Kullback-Leibler Divergence — Solomon Kullback and Richard Leitler design a statistical measure of the difference between two prob...
- Markov Decision Processes — Richard Bellman formalizes the mathematical framework for modeling optimization problems where outco...
- Von Neumann-Morgenstern Utility — John von Neumann and Oskar Morgenstern mathematically formalize utility axioms under absolute uncert...
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