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In recent years there has been a great deal of research about personalization in information access. The main issue is to improve the quality of search by producing user-tailored results related to specific user needs. In this context two key research problems concerns how to model user preferences, and how to exploit them in effective personalisation processes. This talk will address the above problems,...
ASEME is an emerging Agent Oriented Software Engineering (AOSE) methodology. The Model-Driven Engineering (MDE) paradigm encourages software modelers to automate the transition of one type of software model to another and eventually the code generation process. This paper builds on previous work that describes the model-driven development of agent systems using ASEME and creating a Platform Independent...
Economic models are found efficient in managing heterogeneous computer resources such as storage, CPU and memory for grid computing. Commodity market, double auction and contract-net-protocol economic models have been widely discussed in the literature. These models are suitable for sharing distributed computer resources that belong to different owners. Agent technology can be used to manage these...
We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel player model based upon empirical evidence from the social and behavioral sciences stating that: (1) an individual's behavior may often be motivated not only by self-interest but also by the consequences for others, and (2)...
In this paper, we introduce how one can validate an event-centric trading simulation platform that is built with multi-agent technology. The issue of validation is extremely important for agent-based simulations, but unfortunately, so far there is no one universal method that would work in all domains. The primary contribution of this paper is a novel combination of event-centric simulation design...
The development of large-scale distributed multi-agent systems in open dynamic environments is a challenge. System behavior is often not predictable and can only be evaluated by execution. This paper proposes a framework to support design and development of such systems: a framework in which both simulation and emulation play an important role. A distributed agent platform (AgentScape) is used to...
To make up for the insufficiency of the existing methods of decision model representation in supporting multilevel model users, a kind of hierarchical description framework of decision model is proposed. This framework is made up of basic layer, building block layer and conceptual layer that supporting three kinds of model users, which are the model constructors, the DSS constructors and the decision...
With the view of system theory, the post node model and its formal description are proposed in this paper, which is based on the analysis of characteristics of e-government system. The model represents the interconnection and interoperation between the business processes. Based on the collaboration among the posts, the model describes the completion process of business objectives involved in the organization,...
As meta-synthesis approach is proposed to deal with complex system problem, the problem solving process under the meta-synthesis workshop is of importance. This paper discusses the working process of the meta-synthesis workshop which could be expressed as a three-dimension process consists of problem solving, expert collaboration and knowledge discovery (PS-EC-KD). Then, we propose a framework of...
With the fast development of information technology, both traditional audit theory and practice encounter the unprecedented challenge, hereafter the data audit conception emerges with respondence to these changes. Unfortunately the data audit model and its corresponding implementation route are scarcely studied. By integrating data mining technology with audit domain knowledge, this paper will proposed...
Linear Support Vector Machines(SVMs) have broad application in supervised classification problem with high dimensional feature space, such as text classification, word sense disambiguation, email spam detection and etc.. Considering the large volume of available training data, efficient training algorithm for linear SVMs draws many attention from the research community in recent years. Cutting-plane...
This paper presents an agent-based model to compare different coordination patterns in joint fire support (JFS) scenarios. Modern war fighting approaches depend heavily on a separation of concerns (like reconnaissance, coordination and engagement) and therefore impose high requirements on the coordination of all involved parties. Following the General Reference Model for Agent-Based Modeling and Simulation...
In the area of financial decision making it is more and more acknowledged that psychological states and characteristics play an important role, for example feeling insecure in relation to financial risks, and being greedy in relation to opportunities to obtain serious gains. This paper presents an agent model of human decision making behaviour in economic situations, incorporating a human's greed...
The digital age has brought about new platforms for collaboration which have provided interesting and effective ways of enabling people to engage in a wide variety of socially-driven activities. One only needs to observe the many free/libre open source software projects on the web, where millions of connected individuals actively participate in the development and deployment of a wide range of software...
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