In the last years, an increasing number of computing systems are being realized taking advantage of autonomous agents. Traditional software engineering methodologies are insufficient to be used in the development of such systems because of the particular characteristics of autonomous agents. Therefore, a lot of work has been done to extend traditional software engineering methodologies for agen...

Mutual trust is a key factor in human-human collaboration. Inspired by this social interaction, we analyze human-agent mutual trust in the collaboration of human and (semi)autonomous multi-agent systems. Human-agent mutual trust should be bidirectional and determines the human’s acceptance and hence use of autonomous agents as well as agents’ willingness to take human’s command. It is especiall...

Abstract The present study aimed at discovering the practices and strategies autonomous EFL learners pursue in their endeavor to master English. It thus set out in the Iranian context, with 60 EFL learners, both autonomous and non-autonomous, as participants. The gathered data through a questionnaire and an interview were subjected to content and descriptive analysis. The results showed that bo...

Abstract The present study aimed at discovering the practices and strategies autonomous EFL learners pursue in their endeavor to master English. It thus set out in the Iranian context, with 60 EFL learners, both autonomous and non-autonomous, as participants. The gathered data through a questionnaire and an interview were subjected to content and descriptive analysis. The results showed that bo...

Evolutionary multi-agent systems (EMASs) are very good at dealing with difficult, multi-dimensional problems, their efficacy was proven theoretically based on analysis of the relevant Markov-Chain model. Now research continues introducing autonomous hybridization into EMAS. This paper focuses a proposed hybrid version EMAS, and covers selection introduction number operators defining rules for s...

Excessive training time is a major issue face when autonomous vehicle agents with neural networks by using images as input. This paper proposes deep time-economical Q network (DQN) input image preprocessing method to train an agent in virtual environment. The environmental information extracted from the A top-view of entire environment then redrawn according information. During DQN model, cropp...

The needs of the application domain require that agent-systems be capable of supporting agents that are autonomous, concurrent, communicative and mobile. These systems should therefore be based on models of computation where concurrcncy has been dealt with explicitly. In order to realize the benefits of the agent-methodologies., it is also necessary to maintain a strong conceptual relevance to ...