Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Search theory and the manufacturing progress function
Management Science
The persistence and transfer of learning in industrial settings
Management Science
Theoretical foundation for a learning rate budget
Management Science
Learning in embedded systems
Organizational Learning: Creating, Retaining, and Transferring Knowledge
Organizational Learning: Creating, Retaining, and Transferring Knowledge
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The Dynamics of Organizational Learning
Computational & Mathematical Organization Theory
Imitation of Complex Strategies
Management Science
From T-Mazes to Labyrinths: Learning from Model-Based Feedback
Management Science
Effect of Delays on Complexity of Organizational Learning
Management Science
A Behavioral Theory of the Firm---40 Years and Counting: Introduction and Impact
Organization Science
Some studies in machine learning using the game of checkers
IBM Journal of Research and Development
Some studies in machine learning using the game of checkers. II: recent progress
IBM Journal of Research and Development
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We outline a theoretical model of organizational learning curves to account for the empirical regularities observed in the literature. The learning mechanism in our model is the gradual recognition of important stepping stones to achieving the goal. As organizations gain experience, they discover the appropriate actions to take at each stage and reduce the number of the steps it takes to reach the final outcome. Using both simulation and human subject experiments, we show that this model accounts for existing empirical regularities related to the learning curves, variations in learning rates, and organizational adaptation to new environments.