The paper describes incorporation of ontology in database of decision support system. Implementation of persistent knowledge-base can be done using relational as well as object-oriented database. Creation of database schema according to classes with their specific properties and slots of domain ontology is described for both types of databases. Besides the database maintenance problems, various...

In the artificial intelligence field, knowledge representation and reasoning are important areas for intelligent systems, especially knowledge base systems and expert systems. Knowledge representation Methods has an important role in designing the systems. There have been many models for knowledge such as semantic networks, conceptual graphs, and neural networks. These models are useful tools t...

An ontology is a description of a particular domain in terms of its concepts and relationships. Ontologies can be used by ‘intelligent agents’ to model their environment and communicate with other agents. The quality of ontologies are therefore crucial to the performance of intelligent agents. However, as with any other knowledge base, there is always the possibility that an ontology have some ...

The selection of an appropriate classiication model and algorithm is crucial for performing eeective classiication on a dataset. This selection task is impeded by two factors: First, there are many performance criteria, and the behaviour of a classiier varies considerably with them. Second, a classiier's performance is strongly aaected by the characteristics of the dataset. Classiier selection ...

This work builds on previous attempts at tutoring scientiic skills. Rather than focus on individual skills or scientiic domains, it stresses the tutoring of speciic scientists: those unfamiliar with the methods and tools of science. The tutor provides a gradual introduction to science in the context of a speciic scientiic domain | in this case, the extinction of the dinosaurs. The tutor require...

Automated argumentation is believed to be a more powerful approach to interaction between agents than game-theoretic and heuristic-based approaches. However, during argumentation agents spend a lot of time to ensure their arguments are safe. The paper attempts to find the reasons that slow down the argument generation process by considering a simple multi agent game – Diplomacy. The research is...

This paper discusses the planning of system responses in information-seeking dialogues. Many dialogue systems are capable of answering single questions or carrying out dialogues which have fairly xed structures, but they show little or no capability to continue the dialogue in an intelligent way, if something unexpected takes place. Our system aims to be exible and overcome the shortcomings in ...

Ever since the birth of ITS (Intelligent Tutoring System) in late 1970’s and early 1980’s, it has live through numerous evolutions. Through this paper we opt to explore and revive the Tutor (Pedagogical) Model of ITS. Pedagogy is referred to as the correct use of teaching strategies. The objective is to emphasize on various abstract pedagogies that can be incorporated into an Intelligent Tutori...

Successful construction of intelligent systems to automate human reasoning processes often requires the use of a variety of techniques, including symbolic rule-based representations of reasoning and data-driven reenement of the knowledge. Connicts may arise between knowledge derived from the data and expert rules, as evidenced by misdiagnoses which are not correctable using neural network reene...

The paper presents conceptual and technological approach to describe high-level domain-specific structure of simulation and decision making process. The structures concerned as an extension to regular workflow conception which can be defined using knowledge base for particular problem domain and intelligent support procedures. The structures are concerned as prototype of user interface allowing...