Drawing on the assumptions of socio-cognitive linguistics, focusing on the effective role of interaction in terms of reducing the cognitive burden in the process of learning, this quasi-experimental study aimed at investigating the effect of the Interactive Whiteboard (IWB) usage on the learning and retention of non-congruent collocations among 60 homogenized Iranian EFL learners, aged 18 to 24...

this paper proposes an efficient tracking method for velocity control of an electro-hydraulic servo system (ehss) in the presence of flow nonlinearities and internal friction. the tracking method controller is a kind of feedback error learning structure. in the proposed method, the feedback error learning (fel) algorithm is used to control the velocity. there is no need to compute the system ja...

Learning by demonstration technology holds great promise for enabling users to automate routine but time-consuming online tasks. However, correct generalization from demonstration traces presents numerous technical challenges related to limited or noisy training data. To address these challenges, we propose a framework that augments learning by demonstration through a facility for asking questi...

Many useful planning tasks are handled by plan execution tools, such as PRS, that expand procedure definitions and keep track of several interacting goals and tasks. Learning by instruction is a promising approach to help users modify the definitions of the procedures. However, the impact of the set of possible instructions on the performance of such systems is not well understood. We develop a...

It is expected that progress toward true artificial intelligence will be achieved through the emergence of a system that integrates representation learning and complex reasoning (LeCun et al. 2015). In response to this prediction, research has been conducted on implementing the symbolic reasoning of a von Neumann computer in an artificial neural network (Graves et al. 2016; Graves et al. 2014; ...

We describe an incremental unsupervised procedure to learn words from transcribed continuous speech. The algorithm is based on a conservative and traditional statistical model, and results of empirical tests show that it is competitive with other algorithms that have been proposed recently for this task.