Scheduling with learning effects has received lots of research attention lately. However, the multiple-agent setting with learning consideration is relatively limited. On the other hand, the actual processing time of a job under an uncontrolled learning effect will drop to zero precipitously as...

Recently, scheduling with learning effects has received growing attention. A well-known learning model is called 'sum-of processing-times-based learning' where the actual processing time of a job is a non-increasing function of the jobs already processed. However, the actual processing time of a...

In this paper we draw an analogy between the process of learning-bydoing and the learning process which develops in a neural network context. The bridging tool we refer to is a dynamic production function whose only variable input is labour. By concentrating on the 'neural network production...