Software design often requires collaborative working among members of a software design project team. In many cases, the members are geographically distributed making the need for effective information and communication technologies acute. Implementing distributed artificial intelligence in intelligent agents is an alternative approach to achieve tasks on distributed computer systems. This pape...

An optimal scheduling approach has been developed for coordinating product delivery activities using fuzzy mathematics. In this approach, optimal delivery scheduling is carried out at three different levels, for situations involving: (1) one driver and one load, (2) one driver and multiple loads, and (3) multiple drivers and multiple loads. Fuzzy-based clustering methods are employed to classif...

The main characteristics of Service-oriented Architecture (SOA) are explained, as well as the usage of Business Intelligence (BI) solutions as Web services in an SOA environment. With the evolution of BI, a focus is shifted from technology to organizational impacting factors, making Web services and SOA technologies more and more attractive. Organizations that choose a Web services and SOA stra...

Counterterrorism and intelligence tasks rely on the efficient collection, analysis and dissemination of information. While information systems play a key role in such tasks, databases are ill-suited to support certain needs of the intelligence analyst, who many times needs to browse and explore the data in an interactive fashion. Since query languages are geared towards one-query-at-a-time exch...

aim and background: this aim of this study was to determine the relationship between psychological health and emotional intelligence with job burnout of nurses of state hospitals in tabriz. methods and materials: in this correlative descriptive study, 300 nurses of tabriz state hospitals who had more than 5 years work experience were chosen by cluster random sampling method. they accomplished g...

Grid environments were originally designed for dealing with problems involving compute-intensive applications. Today, however, grids enlarged their horizon as they are going to manage large amounts of data and run business applications supporting consumers and end users. To face these new challenges, grids must support adaptive data management and data analysis applications by offering resource...

This paper is on the automation of knowledge-intensive tasks in engineering domains; here, the term “task” relates to analysis and synthesis tasks, such as diagnosis and design problems. In the field of Artificial Intelligence there is a long tradition in automated problem solving of knowledge-intensive tasks, and, especially in the early stages, the search paradigm dictated many approaches. La...

Programming languages often hide their implementation at a level of abstraction that is inaccessible to programmers. Decisions and tradeoffs made by the language designer at this level (single vs. multiple inheritance, mixins vs. Traits, dynamic dispatch vs. static case analysis, etc.) cannot be repaired easily by the programmer when they prove inconvenient or inadequate. The artificial distinc...