The purpose of this study was to explore the effect of applying task-based activities on students’ listening comprehension improvement. It also aimed at providing evidence to show how shifting from a traditional language teaching approach into the TBLT approach can positively affect the process of learning listening skill. To do this, 80 participants were selected from three English language in...

An important focus of recent CBR research is on how to develop strategies for achieving compact, competent case-bases, as a way to improve the performance of CBR systems. However, compactness and competence are not always good predictors of performance, especially when problem distributions are non-uniform. Consequently, this paper argues for developing methods that tie case-base maintenance mo...

Presented paper describes the development of comprehensive approach for knowledge processing within e-Sceince tasks. Considering the task solving within a simulation-driven approach a set of knowledge-based procedures for task definition and composite application processing can be identified. This procedures could be supported by the use of domain-specific knowledge being formalized and used fo...

This paper proposes a deep convolutional neural model for character-based Chinese word segmentation. It first constructs position embeddings to encode unigram and bigram features that are directly related to single positions in input sentence, and then adaptively builds up hierarchical position representations with a deep convolutional net. In addition, a multi-task learning strategy is used to...

Workflow problems generally require the coordination of many workers; machines and computers. Agents provide a natural mechanism for modelling a system where multiple actors operate, but they do not explicitly support coordination schemes. Efficient task allocation to these actors is a fundamental coordination prerequisite. A competent allocation policy should address both system performance is...

Cultural diversity can have both positive and negative effects on the performance of multinational teams. Positive effects can stem from the wide variety of experiences and methods that a culturally diverse team can draw on to plan and to develop innovative or efficient solutions to a complex problem. However, cultural diversity can also lead to miscommunications and misunderstandings during ta...

The work presented in this paper is part of an ongoing effort to study suitable task assignment mechanisms for decentralized MAS. Our focus is on systems that are characterized by tasks with delayed commencement. Such a task requires a preceding effort before the agent can start executing the task. An example is a robot that first has to move to the location of a task before it can start execut...

A credible theory of intelligence must provide a satisfactory account of the wide spectrum of learning abilities displayed by humans and some other animals. One of the most impressive of these is skill acquisition—the ability to create new skills, refine them through practice, and apply them in new task contexts. This ability to retain and refine solutions to important subproblems and then empl...

Current complex engineering software systems are often made up of many software components to perform complex tasks, which can be modeled as multi-agent systems. Task allocation in complex multi-agent engineering software systems can be described through software agents’ cooperation to satisfy the resource requirement of tasks. Although many task allocation approaches have been presented to dea...