The paper is a contribution to introducing biologically oriented ideas in conceiving a new and innovative idea in modern factories of the future. The intelligent system is treated as an autonomous organization structure efficiently adapting itself to the dynamic changes in the micro and macro environment. Simulation of self-organizing (genetic) composition of elementary (basic) mechanical parts...

Intelligent Agents have originated a lot of discussion about what they are, and how they are different from general programs. We describe in this paper a new paradigm for intelligent agents. This paradigm helped us deal with failures in an independent and efficient way. We proposed three types of agents to treat the system in a hierarchical way. A new method to visualize fault tolerant systems ...

Although probabilistic knowledge representations and probabilistic reasoning have by now secured their position in intelligent systems research, it is not uncommon to encounter misunderstanding of their foundations and lack of appreciation for their strengths. This paper discusses ve issues related to intelligent systems research and shows how they are addressed by the probabilistic knowledge r...

Methods for the reconstruction of temperature fields in an intelligent building with temperature data of discrete observation positions is a current topic of research. To reconstruct temperature field with observation data, it is necessary to model the identification of temperature in each observation position. In this paper, models for temperature identification in an intelligent building are ...

This paper presents an approach that aims to integrate intelligent agents, user models and automatic content categorization in a virtual environment. In this environment, called AdapTIVE (Adaptive Three-dimensional Intelligent and Virtual Environment), an intelligent virtual agent assists users during navigation and retrieval of relevant information. The users’ interests and preferences, repres...

many intelligent systems are intended to communicate with users through natural language. Understanding the natural language by the computer is one of the most essential operations in natural language processing. One of the applications of natural languages is in the exams having essay questions. The objective of this paper is to propose a method for designing an examiner machine and creating a...

A proportional integral derivative (PID) controller is the most commonly used controller in controlling industrial loops due to its simple structure, robust nature and easy implementation. Tuning a PID controller is an important task. The conventional methods for tuning a PID controller have certain limitations. These limitations can be taken care by tuning the PID controller using intelligent ...

Today s dynamic industrial process simulation problems require systematically new methodologies and sophisticated computational tools Such processes involve frequently discontinuities environ ment structures changes and entities with high functional levels Furthermore there are cases where we must integrate intelligent techniques and negotiation protocols These characteristics are crucial in di...

A fundamental hurdle in building intelligent systems is in acquiring enough information about a user and her context, in a form that the system can use, without impairing the usability of the system. A variety of interaction paradigms have been explored in this regard – agents, spoken language understanding, the incorporation of biometrics and other interaction modalities – that aim to make int...

Different models have been proposed for improving the results of Web search by taking into account the link structure of the Web. The PageRank algorithm models the behavior of a random surfer alternating between random jumps to new pages and following out links with equal probability. We propose to improve on PageRank by using an intelligent surfer that combines link structure and content to de...