The present article discusses and presents a new and comprehensive approachaimed at measuring the maturity and quality of software processes. This method has beendesigned on the basis of the Software Capability Maturity Model (SW-CMM) and theMulti-level Fuzzy Inference Model and is used as a measurement and analysis tool. Among themost important characteristics of this method one can mention si...

We study a distributed decision-making problem in which multiple agents face the same multi-armed bandit (MAB), and each agent makes sequential choices among arms to maximize its own individual reward. The cooperate by sharing their estimates over fixed communication graph. consider an unconstrained reward model two or more can choose arm collect independent rewards. And we constrained that at ...

This paper reports first trials to include the User aspect into MultiAgent Systems, which is a basic need if Multi-Agent Systems want to contribute to environments where the User is tightly coupled with decentralised systems, such as pervasive computing. The paper first outlines how Multi-Agent Systems have developed from Agent Centred Multi-Agent Systems to Organisation Centred Multi-Agent Sys...

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...

Software agents are autonomous entities that can interact intelligently with other agents as well as their environment in order to carry out a specific task. We have proposed a role-based multi-agent system for e-learning. This multi-agent system is based on Agent-Group-Role (AGR) method. As a multi-agent system is distributed, ensuring correctness is an important issue. We have formally modele...

Many interesting architectures for defining intelligent agents have been proposed in the last years. Logic-based architectures have proved effective for reproducing “intelligent” behavior while staying within a rigorous formal setting. In this paper, we present the DALI multi-agent architecture, a logic framework for defining intelligent agents and multi-