A comprehensive model of work-based learning is illustrated combining explicit and tacit forms of knowledge and theory … intersection of which can contribute to the development of a comprehensive theory for integrating learning and work. At the … and practical developments that might lead to a comprehensive theory of work-based learning. The discussion takes up such …

, which is important for decision making. The challenging task of learning causal models from data always relies on some … underlying assumptions. We discuss several recently proposed structure learning algorithms and their assumptions, and we compare …

In this paper we argue that the learning of safety in a constellation of communities of practice is mediated by …

The article presents certain ways of understanding a learning organization and its characteristic features. It also … contains the results of a study of twenty–seven Polish enterprises facilitating diagnosis of their learning ability. It has … been shown that learning ability is connected with the performance of the enterprise. The study results make possible the …

workplace there has been a rise in the use of teamwork (Haskins, 1998:74, Senge, 1990, p. 236). Peer learning and the … and emergent character of tacit knowledge as well as provide opportunities for reflection on workplace learning in action … skills that they will need to develop further as part of ongoing organisational learning and professional development …

potential for context as a principled manner of closely integrating crisp reasoning and fuzzy learning is discussed …

How well do various learning models predict the dynamics of the population distribution of play in a variety of games …? We measure and compare the in-sample and out-of-sample prediction performance of seven action-reinforcement learning … models as well as Rule Learning for symmetric normal-form games. The criteria include log-likelihood values and root …

We test the population rule learning model for symmetric normal-form games, and strongly reject: (i) no rule learning …

Problem definition: Intraproject learning in project scheduling is concerned with the use of learning among the similar … tasks in the project to improve the overall performance of the project schedule. Under intraproject learning, knowledge …. We provide the first model and solution algorithms to tackle this intraproject learning problem.Methodology/results: We …