A major unresolved issue in business cycle theory is the construction of an endogenous propagation mechanism capable of capturing the persistence displayed in the data. In this paper we explore the quantitative implications of one propagation mechanism: learning by doing. Estimation of the parameters characterizing learning by doing is based on aggregate, 2-digit and plant level observations in...

Emohawk is a narrative-based serious game designed to be a supportive tool for teaching basics of virtual agents development at universities and high-schools. Emohawk is built utilizing a free version of Unreal Engine 2 and it features an interactive scenario with four virtual agents controlled by an appraisal-driven architecture playing out a story approximately 5-10 minutes long. Students are...

In this paper an approach to learning cognitive skills from problem solving experience is presented – addressing some phenomena well known from human learning but seldom covered together in machine learning. The core of our approach is the acquisition of recursive program schemes (RPSs) by generalization-to-n over plans, using an inductive program synthesis technique. RPSs represent domain spec...

This paper examines firm strategy when competitors are at different points along the learning curve. It shows that firms high on the learning curve will have strong incentives to exclude new competitors, while firms that are learning more slowly will have weaker incentives to hinder new competitors and may even wish to encourage entry. The same strategies are shown to apply when firm reputation...

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