We report on an investigation of reinforcement learning techniques for the learning of coordination in cooperative multiagent systems. Specifically, we focus on a novel action selection strategy for Q-learning (Watkins 1989). The new technique is applicable to scenarios where mutual observation of actions is not possible. To date, reinforcement learning approaches for such independent agents di...

An important aspect of ontology learning is a proper evaluation. Generally, one can distinguish between two scenarios: (i) quality assurance during an ontology engineering project in which also ontology learning techniques may be used and (ii) evaluating and comparing ontology learning algorithms in the laboratory during their development. This paper gives an overview of different evaluation ap...

Didactic learning that follows the “traditional” model of a teacherstudent relationship is often considered completely different from collaborative learning. As a result, few studies have explored the potential to effectively connect these two forms of learning. Nevertheless, in practice, a well-thoughtout linkage between these different approaches is essential to leverage and facilitate the le...

Mobile computing gives a learner the ability to engage in learning activities when and where they wish. This may be formal learning, where the learner is a student enrolled on a course in an institution, or informal learning, where they may be engaged in activities such as a visit to an art gallery. This entry emphasises the importance of portals to this learning environment, using the MOBIlear...

Nowadays, technology-enhanced learning systems must have the ability to reuse learning resources from distributed repositories, to take into account the context and to allow dynamic adaptation to different learners (individuals, dyad or team) based on substantial advances in pedagogical theories and knowledge models. We focus on learning systems using a problem-based learning approach represent...

Nowadays, technology-enhanced learning systems must have the ability to reuse .learning resources from distributed repositories, to take into account the context and to allow dynamic adaptation to different learners based on substantial advances in pedagogical theories and knowledge models. We focus on learning systems using a problem-based learning approach represented by scenarios. In our fra...

Innovators need a common, reusable framework for implementing patterns of collaborative learning on wireless handheld devices. Our project explores the application of an architecture from distributed system research, “tuple spaces,” to a wide variety of collaborative learning scenarios. We are testing this approach with documented scenarios from prior work published by our team and others. We a...