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This article considers the software problems of reuse, interoperability and evolution in the context of Ambient Intelligence. A novel approach is introduced: the Environment, Application, Adaptation (EAA) is streamlined for Ambient Intelligence and is evol ...
A large and growing body of empirical research shows that social relationships and the networks these relationships constitute are influential in explaining the processes of knowledge creation, diffusion, absorption and use. We refer to such networks as “k ...
In this paper, we examined the effect of knowledge interdependence among co-learners on knowledge convergence outcomes. Prior to collaboration, two partners read the same text in the independent condition while each of them read one of two complementary te ...
Many students leave school with a fragmented understanding of biology that does not allow them to connect their ideas to their everyday lives (Wandersee, 1989; Mintzes, Wandersee, & Novak, 1998; Mintzes, Wandersee, & Novak, 2000a). Understanding evolution ...
Knowledge acquisition activities occurring may be just as critical to firm survival as pre-existing knowledge and experience, because knowledge acquisition activities enable the augmentation of existing knowledge and the exploration and pursuit of new stra ...
In the framework of the European Integrated Project PALETTE, the École Polytechnique Fédérale de Lausanne (EPFL) and the University of Patras are developing mediation services. These services aim at sustaining collaboration, supporting tacit and explicit k ...
In this article we explore how learning across competing Communities of Practice (CoP) may benefit from actively managed processes, namely: building an explicit knowledge repository (open source), and setting incentives to crossing boundaries (knowledge-br ...
In the framework of the European Integrated Project PALETTE, the École Polytechnique Fédérale de Lausanne (EPFL) is developing the eLogbook Web 2.0 social software. The purpose of eLogbook is to support tacit and explicit knowledge management in communitie ...
Learning a category from few examples is a challenging task for vision algorithms, while psychological studies have shown that humans are able to generalise correctly even from a single instance (one-shot learning). The most accredited hypothesis is that h ...
Using each other's knowledge and expertise in learning - what we call cooperation in learning- is one of the major existing methods to reduce the number of learning trials, which is quite crucial for real world applications. In situated systems, robots bec ...