توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Real Time Prediction of Time Delays in a Networked Control System
نویسنده(ها): ، ،
اطلاعات انتشار: شانزدهمین کنفرانس سالانه مهندسی مکانیک، سال
تعداد صفحات: ۴
In this paper, a novel method for real time prediction of network transmission time delays is introduced. The proposed delay prediction method is based on the Multi– Layer Perceptron (MLP) neural model of the network. Unlike most of the previously existing methods, the proposed approach is both accurate and fast enough for a real time implementation.<\div>

۲A New Similarity Difference Measure in Multi Agent Systems
نویسنده(ها): ، ،
اطلاعات انتشار: چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران، سال
تعداد صفحات: ۶
In this paper, we present a new measure for evaluating similarity changes in a multi agent system. The similarity measure of the agents changes during the learning process. The similarity differences are because of any composition or decomposition of some agent sets. The presented measure, defines the changes of homogeneity of agents by composition and decomposition. The utility of the metrics is demonstrated in the experimental evaluation of multi agent foraging. The results show that while the similarity difference gets a positive value, the performance grow rapidly.<\div>

۳A Design Support System Using Analogy Based Reasoning
اطلاعات انتشار: اولین کنفرانس بین المللی و هفتمین کنفرانس ملی مهندسی ساخت و تولید، سال
تعداد صفحات: ۱۰
This paper represents a procedure to support the designer in his\her process of mechanical system design, by inspiring the knowledge acquired from previous projects. To this end, the proposed method represents an appropriate means to capitalize the know–how of the professional experts. Based on this approach, an interactive programme is implemented, which assist designers in the specification of new products. The data structure of the implemented tool is based on the object oriented modelling. This structure allows several classifications of a same design, using different levels of abstraction. This approach enables designer to begin with a more general description of the product, and to refine the description by referring to similar data in the pattern bases.<\div>

۴Multi–level Holonification of Multi–agent Networks
اطلاعات انتشار: دوازدهمین کنفرانس ملی سیستمهای هوشمند، سال
تعداد صفحات: ۵
A networked multi–agent system is a group of intelligent agents structured in a social network induced by agent interactions. As the size and diversity of the multi–agent systemincrease, the interactions and mutual influence of the agents in the structure become more complicated, and this makes thecoordination of the system hard to deal with. Holonic models for multi–agent systems have been considered as one of promising models to manage large scale problems. This paper tackles one of the key problems in the design of holonic multi–agent systems. Here we propose a method to construct a multi–level holonicstructure for a multi–agent network based on the centrality of the agents. The proposed method is applied to an urban traffic problem and the evaluation results prove its effectiveness<\div>

۵A Holonic Multi Agent System For Operating Smart Grid Market
نویسنده(ها): ،
اطلاعات انتشار: چهارمین کنفرانس بین المللی رویکردهای نوین در نگهداشت انرژی، سال
تعداد صفحات: ۹
Smart Grid is known as the next generation of power systems. This technology is the main solution to challenges such as increasing electric demand, aging utility infrastructure and workforce, and the environmental impact of greenhouse gases produced during electric generation. The agent based functions are highly autonomous and operate independently while managing energy consumption and production by human is autonomous and independently in power systems. The smart grid consists of several operation layers and in each layer there are several operating segments that must be coordinated with each other. These operating segments can map to an organization to reduce the complexity of coordination between them. A holonic multi agent system presents hierarchical organization structure with decentralized control. This paper proposes a model of holonic multi agent system (HMAS) for smart grid market to manage electricity agents in Smart grid operation. This approach controls the smart grid complexity by intelligent agents in a holonic organization mounted on smart grid infrastructure. The presented approach utilizes the advantages of using the HMAS technology for managing smart grid energy market and trading strategies to obtain satisfying energy exchange and energy price between the production units and loads in the smart grid.<\div>
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