In the last few years, efforts have been done towards bridging the gap between agent technology and de facto standard technologies, aiming at introducing multi-agent systems in industrial applications. This paper presents an experience done by using one of such proposals, Agent UML. Agent UML is a graphical modelling language based on UML. The practical usage of this notation has brought to sug...

Multi agent system has been one of the most challenging parts in the field of artificial intelligence. Multiple agents are applied to do definite works using own intelligence. Communication is a medium through which agents can contact each other and perform at their best. In this paper we have formed multi agent communicative rule based architecture algorithmically. The framework depicts how th...

This article presents a multi-agent approach for controlling autonomous mobile manipulators. The proposed approach assigns a hybrid agent (Mobile base agent) for the control of the mobile base, a reactive agent (Joint agent) to each degree-of-freedom (dof) of the manipulator, and a Supervisory agent to assure coordination and to synchronize the work of the whole agents of the system. The initia...

The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...

Economic modeling of financial markets attempts to model highly complex systems in which expectations can be among the dominant driving forces. It is necessary, then, to focus on how agents form expectations. We believe that they look for patterns, hypothesize, try, make mistakes, learn and adapt. Agents’ bounded rationality leads us to a rule-based approach which we model using Fuzzy Rule Base...