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...

unsuccessful experiences of two major exhibitions with more than 300 investment projects in mashhad organized with municipalities in 2010 and 2011 and weak implementation of 20 projects, propose the use appropriate methods to identify themes and patterns for components investment projects. this study aims to determine the priorities for investment in the district three of mashhad municipality. ...

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...

Abstract The self organizingmap SOM of Kohonen is one of the most successful models of unsupervised learning Its popularity is partially due to the visualization topography preservation of relations among clusters in high dimensional input space SOM learns slowly especially in the initial phase and the preservation of topography by SOM maps is not based on any quantitative criteria We have obta...

As multi-agent systems grow in size and complexity, social networks that govern the interactions among the agents will directly impact system behavior at the individual and collective levels. Examples of such large-scale, networked multiagent systems include peer-to-peer networks, distributed information retrieval, and agent-based supply chains. One way of dealing with the uncertain and dynamic...

We present a framework for the self-organized formation of high level learning by a statistical pre-processing of features. The paper focuses first on the formation of the features in the context of layers of feature processing units as a kind of resource-restricted associative multiresolution learning We clame that such an architecture must reach maturity by basic statistical proportions, opti...

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...

Ad hoc networks can be formed from arbitrary collections of sensors, mobile routers, or business processes. These networks are open systems, in the sense that the network nodes share a common language but do not necessarily share a common goal or common knowledge, and there is no centralised controller or global data repository. Such systems have numerous advantages in terms of enabling autonom...

Ikegami reviews the implementation of mandatory long-term care insurance systems in Germany and Japan, which are organized as pay-as-you-go systems. I propose to go one step further and implement a multi-pillar, mandatory and voluntary long-term care financing system, which combines pay-as-you-go with capital-funded elements. The proposal is based on the observation tha...