Recent advancement of geospatial services has shown great promise to solve complex geoprocessing tasks in a distributed environment. Geoprocessing services are often chained as scientific workflows and executed in a workflow engine. This paper proposes a task-oriented architecture for Web geoprocessing systems, which leverages Web service and workflow technologies to design and execute tasks, a...

A method of a class in an object-oriented (OO) program often must implement collaborating behaviors that require multiple inter-dependent tasks to be performed within the same period of time to accomplish a certain goal. To achieve the separation of concerns in the description of a collaborating behavior, the tasks involved and the protocol through which these tasks interact should be modulariz...

The latest in a series of natural language processing system evaluations was concluded in October 1995 and was the topic of the Sixth Message Understanding Conference (MUC-6) in November, co-chaired by Ralph Grishman (NYU) and Beth Sundheim (NRaD). Participants were invited to enter their systems in as many as four different task-oriented evaluations. The Named Entity and Coreference tasks enta...

the main tasks of ‘environmental graphics’ have been designated as: provision of instructions and essential information, environmental embellishment, ease of interconnection and visual identity establishment all of which can affect the culture and identity of the audience through an unconscious process. if we consider, on the one hand, the crisis of identity and cultural problems of the present...

We address the problem of generalizing manipulative actions across different tasks and objects. Our robotic agent acquires task-oriented skills from a teacher, and it abstracts skill parameters away from the specificity of the objects and tools used by the teacher. This process enables the transfer of skills to novel objects. Our method relies on the modularization of a task’s representation. T...

The successful use of Reinforcement Learning in complex tasks depends on techniques to scale-up classical learning algorithms because they suffer from the curse of dimensionality. Transfer Learning approaches have been used to accelerate learning by reusing knowledge gathered from the solution of previous tasks. However, discovering how different tasks are related is a very complex undertaking ...

This paper presents a project-oriented framework for multi-robot task scheduling. An agent-based architecture is designed to schedule tasks where robots are considered as resources. The study focused on the problems when the number of available robots is less than the required number. In this case, the problem becomes a resource-constrained scheduling problem. Initially, tasks are scheduled by ...

Due to more and more demanding requirements for business flexibility and agility, automation of end-to-end industrial processes has become an important topic. Systems supporting business process execution need to enable automated tasks execution as well as integrate human performed tasks (human tasks) into a business process. In this paper, we focus on collaboration tasks, which are an importan...