Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this … paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn … almost any solution, for any parameters, implying learning cannot be used for equilibrium selection. As a by-product, we are …

present simple reinforcement and evolutionary learning agents that learn strategies with better than Nash payoffs …

learning activities to generate successful products. Yet prior NPD research has largely taken a positivistic view of learning … despite an inkling that too much learning can lead to dysfunction. This study attempts to contribute the NPD literature by … analyzing whether and, if so, when technological learning engenders shortcomings and affects new product commercialization. We …