Research in the field of Artificial Intelligence is continually progressing to simulate the human knowledge into automated intelligent knowledge base, which can encode and retrieve knowledge efficiently along with the capability of being is consistent and scalable at all times. However, there is no system at hand that can match the diversified abilities of human knowledge base. In this position...

Authoring the knowledge base for an intelligent tutoring system (ITS) is difficult and time consuming. In many ITS, the knowledge base is used for solving problems, so authoring it is an instance of the notoriously difficult knowledge acquisition problem of expert systems. General tools for knowledge acquisition have shown only limited success, which suggests developing tools that apply only to...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

The work described in this paper tackles learning and communication between cognitive artificial agents. Focus is on dialogue as the only way for agents to acquire knowledge, as it often happens in natural situations. Since this restriction has scarcely been studied as such in artificial intelligence (AI), until now, this research aims at providing a dialogue model devoted to knowledge acquisit...

The main aim of this research is to investigate a novel technique for implementing a more natural and intelligent conversation system. Conversation systems are designed to converse like a human as much as their intelligent allows. Sometimes, we can think that they are the embodiment of Turing’s vision. It usually to return a predetermined answer in a predetermined order, but conversations aboun...

This paper describes an intelligent decision support system for evaluating state-owned enterprises (SOEs) using DEA models. This decision support system converts numerical data into information that will evaluate state-owned enterprises (SOEs). We associate the database management subsystem, the model base subsystem, the knowledge acquisition subsystem, and the dialogue subsystem to construct D...

Multi-agent system is a system of autonomous, intelligent but resource-bounded agents. Particular agents have to be able to make decisions on their own, based on the activities of other agents and events within the system as well as in its environment. These decisions may be based on typical information from relational databases (communication and reasoning based on some logical systems) but al...

People can acquire knowledge not only from media such as books, but also through interactions with other people. Automated dialog agents, however, typically limit their learning from labeled data, and programming. This thesis describes an approach that enables such agents to actively acquire new knowledge through spoken dialog interaction. To acquire knowledge in different situations, we propos...