aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. in this paper we present a new self-organized multi agent system that diagno...

Business Intelligence (BI) systems plays a vital role in effective decision making in order to improve the business performance and opportunities by understanding the organization’s environments through the systematic process of information. The development of BI systems is limited due to its huge development costs. Developing the complex systems with Self Organized Multi Agent technology would...

In this paper, we show our current work on our Non Self Organizing Multi Agent System (NonSOMAS) and Self Organizing Multi Agent System (SOMAS). Through experiments and analysis, we investigate how Self-Organized Criticality (SOC) phenomena arise in SOMAS rather than in NonSOMAS. Furthermore, we compare the order of agent performance in the two systems and explain its implications.

Worldwide systems are increasingly growing into unprecedented complexity levels. This increase of system complexity has to be tackled with new control approaches, where decentralization is playing an important role and particularly the Multi-Agent Systems and Holonic Systems. Despite the benefits of this distribution, new problems arise such as the need for entities coordination. This paper pro...

The demand for large-scale systems running in complex and even chaotic environments requires the consideration of new paradigms and technologies that provide flexibility, robustness, agility and responsiveness. Multiagents systems is pointed out as a suitable approach to address this challenge by offering an alternative way to design control systems, based on the decentralization of control fun...

Complexity of information technology systems is increasing continually. A very good solution would be using agents in implementing and controlling these systems. Multi-Agent Systems are good examples of using agents for system control and implementation. On the other hand, Multi-Agent systems need to be controlled and managed too. Using organizations is one of the best solutions. Many research ...

Bioprocesses are especially difficult to model due to their complexity and the lack of knowledge available to fully describe a microorganism and its behavior. Furthermore, controlling such complex systems means to deal with their non-linearity and their time-varying aspects. A generic approach,relying on the use of an Adaptive Multi-Agent System (AMAS) is proposed to overcome these difficulties...

this paper is concerned with the consensus tracking problem of high order mimo nonlinear multi-agent systems. the agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. the communication network topology of agents is assumed to be a fixed undirected graph. a distributed adaptive control method is proposed to solve the consensus problem utilizing re...

The general framework of our project is to provide a computational model of physical complex processes for simulation needs. In Geophysics, the study of this kind of system has led to the concept of “Self-Organized Criticality”, to explain the “repeatability” of emergent phenomena in nature. To model Self-organized criticality within computers, the original part of the work is to propose a mult...

in this article a graph theoretical approach is employed to study some specifications of dynamic systems with time delay in the inputs and states, such as structural controllability and observability. first, the zero and non-zero parameters of a proposed system have been determined, next the general structure of the system is presented by a graph which is constructed by non-zero parameters. the...