Supply Chain Management (SCM) environments demand intelligent solutions, which can perceive variations and achieve maximum revenue. This highlights the importance of a commonly accepted design methodology, since most current implementations are application-specific. In this work, we present a methodology for building an intelligent trading agent and evaluating its performance at the Trading Age...

The master thesis describes an intelligent agent developed for power trading in the tar-iff market. First, the theoretical background related to the motivation for switching fromtraditional grids to Smart Grids is presented. The thesis continues with the simulation plat-forms for agents and the key implications of real-world tariff design and principles. Lastly,the complete arch...

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

In recent years, workflow technology has been widely used in business process management. With the increased complexity, uncertainty and risks in business operations, workflow monitoring is gaining growing attention in business process controlling and supervision. However, monitoring functions provided in traditional workflow systems lack flexibility, and provide little support for managing com...

The smart grid is widely considered as an efficient and intelligent power system. With the aid of communication technologies, the smart grid can enhance the efficiency and reliability of the grid system through intelligent energy management. However, with the development of new energy sources, storage and transmission technologies together with the heterogeneous architecture of the grid network...

The idea behind General Game Playing is to build systems that, instead of being programmed for one specific task, are intelligent and flexible enough to negotiate an unknown environment solely on the basis of the rules which govern it. In this paper, we argue that this principle has the great potential to bring to a new level artificially intelligent systems in other application areas as well. ...

fuzzy linear programming models and methods has been one ofthe most and well studied topics inside the broad area of soft computing. itsapplications as well as practical realizations can be found in all the real worldareas. in this paper a basic introduction to the main models and methods infuzzy mathematical programming, with special emphasis on those developedby the authors, is presented. as ...

The business trends to trade more complex goods and services in inter-connected e-marketplaces and to use mobile communication channels drive the requirements for the next generation of emarketplaces including more advanced trading, mobile access and user support capabilities. This paper presents an attempt to address the above requirements by proposing an intelligent mobile agent-based e-marke...

In this paper, we introduce a unique implementation scheme of the Belief-Desire-Intention (BDI) model to be used in an agentbased application using Java. The example prototype system is the Agent-based Stock Trader (AST) that is a stock-trading expert based on intelligent agents. Agents in AST are based on the Belief-Desire-Intention (BDI) model in artificial intelligence. This paper proposes h...

Self adaptive systems must recon gure themselves at run time to compensate for changing environments objectives and system capabilities This paper discusses how the SA CIRCA architecture for intelligent autonomous systems can automatically synthesize customized control software on the y and how that synthesis process itself can be managed to conform to real time deadlines that may constrain the...