Artificial intelligence (AI) is a discipline interested in the processes and methods that allow a machine to perform tasks related to human intelligence. It offers many opportunities related to problem solving, quick decision-making, increasing efficiency and reducing costs. Because of its so various fields of application, artificial intelligence is at the heart of the new industrial revolution...

In 2010, a new research stream began on collective intelligence (CI), defined as group's general ability to perform consistently well across wide variety of tasks. Subsequent empirical evidence presents mixed picture. Some studies have found groups exhibit CI while others not. To resolve these disparate results, we compare 21 experimental understand what influences whether CI. We find that task...

Digital assistants based on artificial intelligence (AI) have been increasingly used in contexts beyond home-oriented services to support individuals carrying out work-related tasks. Given the lack of empirical evidence this fast-developing area, paper aims (1) explore factors which can lead individuals' satisfaction with use technology, and (2) examine impact productivity job engagement. The m...

After Gardner’s Multiple Intelligences Theory (MIT), some language teaching practitioners set out to teach students in a way to help their dominant intelligence(s) blossom. In an EFL context, usually teachers’ main focus is to develop communication skills. Nowadays, writing is one of the main ways by which people communicate. Thus, this study aimed at investigating possible relationship between...

In the last decades, large organizations have paid more attention to the topics such as creativity and innovation in organizational level because of changes and evolutions in the increasing competition field and unreliable environmental conditions. This research investigates the influence of emotional intelligence on the organizational innovation. This research is considered application-oriente...

Artificial Intelligence (AI) planning techniques, particularly hierarchical task network (HTN) planners, can produce very complex plans, with many sequential and parallel actions decomposed into multiple levels of abstraction. Most such planners provide only a twodimensional (2D) display of such plans which is typically limited to visualization of one layer of the plan at a time. These 2D displ...

the main purpose of this research was the survey psychometric of mental health and spiritual intelligence tests in student university of shahrbabak city. the statistical universe included all students in a dormitory, amounting to a sample set of 166 people. about 154 people in this group were selected as the sample. in this research, the measuring devices was mental health and spiritual intelli...

Driven by recent technological advancements within the field of artificial intelligence (AI), deep learning (DL) has been emerged as a promising representation technique across different machine (ML) classes, especially reinforcement (RL) arena. This new direction given rise to evolution domain named (DRL) that combines high representational capabilities DL with existing RL methods. Performance...