Our research aims at building interactive robots and agents that can expand their knowledge by interacting with human users. In this paper, we focus on learning goal-oriented tasks from situated interactive instructions. Learning the structure of novel tasks and how to execute them is a challenging computational problem requiring the agent to acquire a variety of knowledge including goal defini...

Humans have been observed to become disoriented when using menu or hypertext systems. Similar phenomena have been reported by software developers, often manifesting as a feeling of lostness while exploring a software system. To investigate this phenomena in the context of software development, we undertook a field study, observing eight developers of the open-source Eclipse project for two hour...

Traditionally, real-time scheduling algorithms prioritize tasks solely based on their timing parameters and cannot effectively handle tasks that have different execution preferences . In this paper, for a set of periodic real-time tasks running on a single processor, where some tasks are preferably executed as soon as possible (ASAP) and others as late as possible (ALAP) , we investigate Prefer...

the purpose of this study was to investigate the impact of weblog task assessment on iranian efl learners’ reading ability. to this purpose, a group of 30 english language students (both male and female) in rozaneh language institute in najafabad were selected based on their performance on the opt. the researchers tried to select a homogeneous sample in terms of age factor and proficiency level...

Better insight in complex physical processes requires integration of scientific visualization and numerical simulation in a single interactive framework. This paper presents an object-oriented environment which combines the tasks of numerical simulation, visualization, simulation specification, run-time monitoring and steering. We first review the different existing approaches to the above task...

This paper describes a method of systematically generating visual sensing strategies based on knowledge of the assembly task to be performed. Since visual sensing is usually performed with limited resources, visual sensing strategies should be planned so that only necessary information is obtained efficiently. The generation of the appropriate visual sensing strategy entails knowing what inform...

We present preliminary results on extending Model-Agnostic Meta-Learning (MAML) (Finn et al., 2017a) to fast adaptation to new classification tasks in the presence of unlabeled data. Using synthetic data, we show that MAML can adapt to new tasks without any labeled examples (unsupervised adaptation) when the new task has the same output space (classes) as the training tasks do. We further exten...

Evaluation-oriented information provision is a function performed by many systems that serve as personal assistants, advisors, or sales assistants. Five general tasks are distinguished which need to be addressed by such systems. For each task, techniques employed in a sample of systems are discussed, and it is shown how the lessons learned from these systems can be taken into account with a set...

In this article, we take stock of the nature and scope global value chain (GVC)-oriented policies. Building on papers that have been accepted to special collection, categorize GVC-oriented policies according four different policy objectives: participation, capture, inclusiveness, resiliency. We compare contrast social economic rationales for state intervention across types discuss instruments a...