This paper addresses an innovative approach to computer assisted learning of foreign language terminology which involves supporting not only foreign language learning focused on specific terminology but also the enhancement of conceptual knowledge in the subject area. ITELS an intelligent tutoring system aimed at helping Bulgarians to learn English terminology in a particular subject area exemp...

Intelligent control techniques have emerged to overcome some deeciencies in conventional control methods in dealing with complex real-world systems. These problems include knowledge adaptation, learning, and expert knowledge incorporation. In this paper, a hybrid network that combines fuzzy inferencing and neu-ral networks is used to model and to control complex dynamic systems. The network tak...

This paper concentrates on the design and preliminary implementation of an intelligent inference system for the assembly of 3D bricks. We model the 3D assemblage as the output of the assembly of 3D bricks. To intelligently guide the assembly of 3D bricks to the completion of a specific 3D assemblage, our system must be equipped with the component of identifying the necessary parts needed to com...

Expert knowledge bases are effective tools for providing a domain model from which intelligent, individualized support can be offered. This is even true for noisy data such as that gathered from activities involving illdefined domains and collaboration. We attempt to automatically detect the subject of free-text collaborative input by matching students’ messages to an expert knowledge base. In ...

The query answering system realizes the selection of the data, preparation, pattern discovering, and pattern development processes in an agent-based structure within the multi agent system, and it is designed to ensure communication between agents and an effective operation of agents within the multi agent system. The system is suggested in a way to process and evaluate fuzzy incomplete informa...

The management of modern telecommunications networks must satisfy ever-increasing operational demands. Operation and quality service requirements imposed by the users are also an important aspect to consider. In this paper we have carried out a study for the improvement of intelligent administration techniques in telecommunications networks. This task is achieved by integrating knowledge base o...

Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. A layered concept structure is proposed to represent knowledge associated with each word in a "sp...

This paper describes ExperNet, an intelligent multi-agent system that was developed under an EU funded project to assist in the management of a large-scale data network. ExperNet assists network operators at various nodes of a WAN to detect and diagnose hardware failures and network traffic problems and suggests the most feasible solution, through a web-based interface. ExperNet is composed by ...