The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

Social networking learning is emerging in light of the European Skills Agenda and technological development. This aims … to incorporate learning techniques in social networking environments to foster formal and informal learning. However, the … classical customer-oriented social networks provide an essential learning environment that does not include assessment tools and …

taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …

significantly, deep learning approaches require massive datasets. We know that the theory and algorithms have been around for quite …

-method approach, the project examines spontaneously-emerging communities of learning in and around massively multiplayer online games … (MMOGs) within the context of social learning theory, social networks, self-organisation, online communities and emergence …

This study aims to examine and compare the mechanisms through which social learning processes influence the knowledge … contribution behavior of lurkers and contributors in open innovation communities (OICs). Based on social learning theory and … environmental stimuli (observational learning, reinforcement learning), organism cognition (self-efficacy, outcome expectancy) to …