Abstract: In terms of binary relations the author analyses the task of an individual consumers’ choice on the teaching excerpts set. It is suggested to analyse the function of consumer’s value as additive reduction. For localization of the vector of weighting coefficients of additive reduction the procedures based on metrics of object distance towards the ideal point are suggested.

Keywords: The theory of consuming, the function of value.

ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications and Expert Systems

Link:

THE LOCALIZATION PROCEDURES OF THE VECTOR OF WEIGHTING COEFFICIENTS ON THE SET OF TEACHING EXPERTS IN THE TASKS OF CONSUMING

Elena Drobot

http://www.foibg.com/ijita/vol13/ijita13-4-p12.pdf

Abstract: In this paper the main problems for computer design of materials, which would have predefined properties, with the use of artificial intelligence methods are presented. The DB on inorganic compound properties and the system of DBs on materials for electronics with completely assessed information: phase diagram DB of material systems with semiconducting phases and DB on acousto-optical, electro-optical, and nonlinear optical properties are considered. These DBs are a source of information for data analysis. Using the DBs and artificial intelligence methods we have predicted thousands of new compounds in ternary, quaternary and more complicated chemical systems and estimated some of their properties (crystal structure type, melting point, homogeneity region etc.). The comparison of our predictions with experimental data, obtained later, showed that the average reliability of predicted inorganic compounds exceeds 80%. The perspectives of computational material design with the use of artificial intelligence methods are considered.

Keywords: artificial intelligence, computer design of materials, databases on properties of inorganic materials, information-analytical system.

ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications in Chemistry

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APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS TO COMPUTER DESIGN OF INORGANIC COMPOUNDS

Nadezhda Kiselyova

http://www.foibg.com/ijita/vol12/ijita12-3-p02.pdf

Abstract: Systemized analysis of trends towards integration and hybridization in contemporary expert systems is conducted, and a particular class of applied expert systems, integrated expert systems, is considered. For this purpose, terminology, classification, and models, proposed by the author, are employed. As examples of integrated expert systems, Russian systems designed in this field and available to the majority of specialists are analyzed.

Keywords: integrated expert systems, real-time, simulation modeling, object-oriented model, rule, complex engineering systems, software tools, task-oriented methodology.

ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications and Expert Systems

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STATIC AND DYNAMIC INTEGRATED EXPERT SYSTEMS: STATE OF THE ART, PROBLEMS AND TRENDS

Galina Rybina, Victor Rybin

http://www.foibg.com/ijita/vol12/ijita12-3-p01.pdf

Abstract: The paper is a description of information and software content of a computer knowledge bank on medical diagnostics. The classes of its users and the tasks which they can solve are described. The information content of the bank contains three ontologies: an ontology of observations in the field of medical diagnostics, an ontology of knowledge base (diseases) in medical diagnostics and an ontology of case records, and also it contains three classes of information resources for every division of medicine – observation bases, knowledge bases, and data bases (with data about patients), that correspond to these ontologies. Software content consists of editors for information of different kinds (ontologies, bases of observations, knowledge and data), and also of a program which performs medical diagnostics.

Keywords: Medical Diagnostics, ontology model, parallel computing, knowledge bank.

ACM Classification Keywords: I.2.1 Applications and Expert Systems, J.3 Life and Medical Sciences.

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AN IDEA OF A COMPUTER KNOWLEDGE BANK ON MEDICAL DIAGNOSTICS

Mery Chernyakhovskaya, Alexander Kleschev, Filip Moskalenko

http://www.foibg.com/ijita/vol15/ijita15-4-p07.pdf

Abstract: In this report we will explain some earlier papers 1, 2 which are about definition of Artificial Intelligence and about perfect AI. The definition of AI is intuitive in 1 and formal in 2. The perfect AI is a program that satisfies the definition for AI but which is absolutely useless because of the combinatory explosion. Most people do not understand these papers because they never saw AI and that is why for them the notion of AI is too abstract. In this report we will make parallel between definition of chess playing program and definition of AI. Of course, the definition of chess playing program is useless because people already know what this is. Anyway, we will give you this definition because its construction follows closely the construction of the definition of AI. Also the results are almost the same with the only difference that we can optimise the perfect chess playing program in order to obtain a real chess playing program, but for the moment we cannot optimise the perfect AI in order to obtain a real AI. In this report we will not speak about AI. The only matter which we will observe will be about chess playing programs. If you understand the construction and the results about chess playing programs then you can read the papers 1, 2 and to see similar results about AI.

Keywords: AI Definition, Artificial Intelligence, Chess Playing Program.

ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations

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PARALLEL BETWEEN DEFINITION OF CHESS PLAYING PROGRAM AND DEFINITION OF AI 2

Dimiter Dobrev

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-2-p17.pdf

Abstract: Exploration of intangible world is under the serious influence of esotericism. Mystics, religions, unrestrained use of metaphors, fairy tales, gossips, unverified and uncertified “facts” – all this needs accurate well-disposed, but sound scientific consideration. Our society really needs new ideas, new approaches and new paradigms. Technological civilization becomes more and more complicated, risky and ecologically critical. The current level of AI research cannot guarantee successful solution of societal control and management. Besides, the human being itself practically did not change its mental and psychological abilities for many thousands years. We can lose control over our society and its technology, if we do not change cardinally ourselves. In this text, I tried to approach this problem – the problem of our noosphere from materialistic viewpoint.

Keywords: philosophy, noosphere, esoteric, intangible world, beliefs, soul, God, materialism, idealism, egregors

ACM Classification Keywords: I.2.0 General: Philosophical foundations, H.1.1 Systems and Information Theory: Information theory, I.6.5 Model Development: Modeling methodologies

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TOWARDS THE NOOSPHERE OF INTANGIBLE (ESOTERICISM FROM MATERIALISTIC VIEWPOINT)

Vitaliy Lozovskiy

http://www.foibg.com/ijita/vol13/ijita13-4-p16.pdf

Abstract: How the processes of human perception exert influence on the development of the information science is discussed in the article.

ACM Classification Keywords: I.2.0 General: Philosophical foundations

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INFORMATICS, PSYCHOLOGY, SPIRITUAL LIFE

Larissa Kuzemina

http://www.foibg.com/ijita/vol13/ijita13-4-p15.pdf

Abstract: A definition of Artificial Intelligence (AI) was proposed in 1 but this definition was not absolutely formal at least because the word "Human" was used. In this paper we will formalize the definition from 1. The biggest problem in this definition was that the level of intelligence of AI is compared to the intelligence of a human being. In order to change this we will introduce some parameters to which AI will depend. One of this parameters will be the level of intelligence and we will define one AI to each level of intelligence. We assume that for some level of intelligence the respective AI will be more intelligent than a human being. Nevertheless, we cannot say which is this level because we cannot calculate its exact value.

Keywords: AI Definition, Artificial Intelligence.

ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations

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FORMAL DEFINITION OF ARTIFICIAL INTELLIGENCE 1

Dimiter Dobrev

http://www.foibg.com/ijita/vol12/ijita12-3-p12.pdf

Abstract: Given cybernetic idea is formed on the basis of neurophysiologic, neuropsychological, neurocybernetic data and verisimilar hypotheses, which fill gaps of formers, of the author as well. First of all attention is focused on general principles of a Memory organization in the brain and processes which take part in it that realize such psychical functions as perception and identification of input information about patterns and a problem solving, which is specified by the input and output conditions, as well. Realization of the second function, essentially cogitative, is discussed in the aspects of figurative and lingual thinking on the levels of intuition and understanding. The reasons of advisability and principles of bionic approach to creation of appropriate tools of artificial intelligent are proposed.

Keywords: pattern, perception, identification, solving, problem generator, understanding, intuition.

ACM Classification Keywords: I.2.0. Artificial intelligence: general – cognitive simulation; I.2.4. Artificial intelligence: knowledge representation formalisms and methods – semantic networks; I.2.6. Artificial intelligence: learning; I.5.1. Pattern recognition: models – neural nets; J.3. Life and medical sciences – biology and genetics.

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CONCEPTUAL IDEA OF IDENTIFICATION OF PATTERNS AND PROBLEM SOLVING IN THE HUMAN’S MEMORY AND THE POSSIBILITIES TO USE IT IN ARTIFICIAL INTELLIGENT

Zinoviy Rabynovych

http://www.foibg.com/ijita/vol12/ijita12-1-p06.pdf

Abstract: This paper is about two fundamental problems in the field of computer science. Solving these two problems is important because it has to do with the creation of Artificial Intelligence. In fact, these two problems are not very famous because they have not many applications outside the field of Artificial Intelligence. In this paper we will give a solution neither of the first nor of the second problem. Our goal will be to formulate these two problems and to give some ideas for their solution.

Keywords: AI Definition, Artificial Intelligence.

ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations

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TWO FUNDAMENTAL PROBLEMS CONNECTED WITH AI 1

Dimiter Dobrev

http://www.foibg.com/ijita/vol15/ijita15-3-p02.pdf

Abstract: In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

ACM Classification Keywords: I.2 Artificial Intelligence, 1.2.0.Cognitive simulation, 1.2.7. Natural language processing - Speech recognition and synthesis

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A COGNITIVE SCIENCE REASONING IN RECOGNITION OF EMOTIONS IN AUDIO-VISUAL SPEECH

Velina Slavova, Werner Verhelst, Hichem Sahli

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p05.pdf

Abstract: The paper describes education complex "Multi-agent Technologies for Parallel and Distributed Information Processing in Telecommunication Networks".

Keywords: multi-agent technologies, parallel and distributed information processing, telecommunication and computer networks.

ACM Classification Keywords: I.2. Artificial Intelligence

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EDUCATION COMPLEX "MULTI-AGENT TECHNOLOGIES FOR PARALLEL AND DISTRIBUTED INFORMATION PROCESSING IN TELECOMMUNICATION NETWORKS"

Adil Timofeev, Alexey Syrtzev, Anton Kolotaev

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-1-p10.pdf

Abstract: Original method and technology of systemological «Unit-Function-Object» analysis for solving complete ill-structured problems is proposed. The given visual grapho-analytical UFO technology for the fist time combines capabilities and advantages of the system and object approaches and can be used for business reengineering and for information systems design. UFO- technology procedures are formalized by pattern-theory methods and developed by embedding systemological conceptual classification models into the system-object analysis and software tools. Technology is based on natural classification and helps to investigate deep semantic regularities of subject domain and to take proper account of system-classes essential properties the most objectively. Systemological knowledge models are based on method which for the first time synthesizes system and classification analysis. It allows creating CASE-toolkit of a new generation for organizational modelling for companies’ sustainable development and competitive advantages providing.

Keywords: systemology, conceptual classification model of knowledge, natural classification.

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.6 Learning: Knowledge Acquisition

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SYSTEMOLOGICAL KNOWLEDGE-BASED TECHNOLOGY FOR SOLVING COMPLETE ILL-STRUCTURED PROBLEMS

Dmitriy Elchaninov, Mikhail Bondarenko, Kateryna Solovyova, Sergey Matorin, Vasy Matorin

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-4-p03.pdf

Abstract: The paper presents experience in teaching of knowledge and ontological engineering. The teaching framework is targeted on the development of cognitive skills that will allow facilitating the process of knowledge elicitation, structuring and ontology development for scaffolding students’ research. The structuring procedure is the kernel of ontological engineering. The 5-steps ontology designing process is described. Special stress is put on “beautification” principles of ontology creating. The academic curriculum includes interactive game-format training of lateral thinking, interpersonal cognitive intellect and visual mind mapping techniques.

Keywords: ontologies, knowledge engineering, analytical skills.

ACM Classification Keywords: I.2 Artificial intelligence.

Link:

COGNITIVE BIAS IN KNOWLEDGE ENGINEERING COURSE

Tatiana Gavrilova, Seppo Puuronen

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p02.pdf

Abstract: An automated cognitive approach for the design of Information Systems is presented. It is supposed to be used at the very beginning of the design process, between the stages of requirements determination and analysis, including the stage of analysis. In the context of the approach used either UML or ERD notations may be used for model representation. The approach provides the opportunity of using natural language text documents as a source of knowledge for automated problem domain model generation. It also simplifies the process of modelling by assisting the human user during the whole period of working upon the model (using UML or ERD notations).

Keywords: intellectual modeling technologies, information system development, structural analysis of loosely structured natural language documents.

ACM Classification Keywords: I.2 Artificial Intelligence: I.2.7 Natural Language Processing – Text analysis

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AUTOMATED PROBLEM DOMAIN COGNITION PROCESS IN INFORMATION SYSTEMS DESIGN

Maxim Loginov, Alexander Mikov

http://www.foibg.com/ijita/vol14/ijita14-3-p09.pdf

Abstract: World’s mobile market pushes past 2 billion lines in 2005. Success in these competitive markets requires operational excellence with product and service innovation to improve the mobile performance. Mobile users very often prefer to send a mobile instant message or text messages rather than talking on a mobile. Well developed “written speech analysis” does not work not only with “verbal speech” but also with “mobile text messages”. The main purpose of our paper is, firstly, to highlight the problems of mobile text messages processing and, secondly, to show the possible ways of solving these problems.

Keywords: mobile text messages, text message analysis, natural language processing

ACM Classification Keywords: I.2 Artificial intelligence: I.2.7 Natural Language Processing – Text Analysis

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DISTINCTIVE FEATURES OF MOBILE MESSAGES PROCESSING

Ken Braithwaite, Mark Lishman, Vladimir Lovitskii, David Traynor

http://www.foibg.com/ijita/vol14/ijita14-2-p08.pdf

Abstract: The results of research the intelligence multimodal man-machine interface and virtual reality means for assistive medical systems including computers and mechatronic systems (robots) are discussed. The gesture translation for disability peoples, the learning-by-showing technology and virtual operating room with 3D visualization are presented in this report and were announced at International exhibition "Intelligent and Adaptive Robots–2005".

Keywords: multimodal man-machine interface, virtual reality, assistive medical systems.

ACM Classification Keywords: I.2. Artificial Intelligence

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MULTIMODAL MAN-MACHINE INTERFACE AND VIRTUAL REALITY FOR ASSISTIVE MEDICAL SYSTEMS

Adil Timofeev, Alexander Nechaev, Igor Gulenko, Vasily Andreev, Svetlana Chernakova, Mikhail Litvinov

http://www.foibg.com/ijita/vol14/ijita14-2-p04.pdf

Abstract: The paper is devoted to the description of hybrid pattern recognition method developed by research groups from Russia, Armenia and Spain. The method is based upon logical correction over the set of conventional neural networks. Output matrices of neural networks are processed according to the potentiality principle which allows increasing of recognition reliability.

Keywords: Pattern recognition, forecasting, neural networks, logical correction.

ACM Classification Keywords: I.2. Artificial Intelligence, I.5. Pattern Recognition, F.1.1 Models of Computation

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ON LOGICAL CORRECTION OF NEURAL NETWORK ALGORITHMS FOR PATTERN RECOGNITION

Levon Aslanyan, Luis de Mingo, Juan Castellanos, Vladimir Ryazanov, Fedor Chelnokov, Alexander Dokukin

http://www.foibg.com/ijita/vol14/ijita14-3-p01.pdf

Abstract: SMS (Short Message Service) is now a hugely popular and a very powerful business communication technology for mobile phones. In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question at a level that allows determining some of constraints the question imposes on a possible answer. These constraints may include a semantic classification of the sought after answer and may even suggest using different strategies when looking for and verifying a candidate answer. In this paper we focus on various attempts to overcome the major contradiction: the technical limitations of the SMS standard, and the huge number of found information for a possible answer.

Keywords: mobile text messages, text message analysis and question-answering system

ACM Classification Keywords: I.2 Artificial intelligence: I.2.7 Natural Language Processing: Text analysis.

Link:

AUTOMATED RESPONSE TO QUERY SYSTEM

Vladimir Lovitskii, Michael Thrasher, David Traynor

http://www.foibg.com/ijita/vol15/ijita15-2-p07.pdf

Abstract: In this article we discuss a possibility to use genetic algorithms in cryptanalysis. We developed and described the genetic algorithm for finding the secret key of a block permutation cipher. In this case key is a permutation of some first natural numbers. Our algorithm finds the exact key’s length and the key with controlled accuracy. Evaluation of conducted experiment’s results shows that the almost automatic cryptanalysis is possible.

Keywords: cryptography, cryptanalysis, block permutation cipher, genetic algorithm, data encryption

ACM Classification Keywords: I.2 Artificial Intelligence: I.2.8 Problem Solving, Control Methods, and Search Heuristic methods, E.3 DATA ENCRYPTION Code breaking.

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GENETIC ALGORITHM FOR FINDING THE KEY’S LENGTH AND CRYPTANALYSIS OF THE PERMUTATION CIPHER

Aleksey Gorodilov, Vladimir Morozenko

http://www.foibg.com/ijita/vol15/ijita15-1-p15.pdf

Abstract: This article considers the Internet/Intranet information systems as the tool for distance learning. Author considers the model of the 3-tier WEB based information system, the idea of the language for implementing and customized solution, which includes the original language and processor for fast prototyping and implementing small and middle sized Internet/Intranet information systems.

Keywords: I&R Systems, client-server architecture, distance learning

ACM Classification Keywords: I&R Systems

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I&R SYSTEMS ON THE INTERNET/INTRANET CITES AS THE TOOL FOR DISTANCE LEARNING

Andrii Donchenko

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p17.pdf

Abstract: This paper aims at development of procedures and algorithms for application of artificial intelligence tools to acquire process and analyze various types of knowledge. The proposed environment integrates techniques of knowledge and decision process modeling such as neural networks and fuzzy logic-based reasoning methods. The problem of an identification of complex processes with the use of neuro-fuzzy systems is solved. The proposed classifier has been successfully applied for building one decision support systems for solving managerial problem.

Keywords: artificial intelligence, artificial neural networks, fuzzy inference systems, classification, decision support.

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence

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THE FUZZY-NEURO CLASSIFIER FOR DECISION SUPPORT

Galina Setlak

http://www.foibg.com/ijita/vol15/ijita15-1-p03.pdf

Abstract: The TM4L environment enables the development and use of ontology-aware courseware based on the Semantic Web technology Topic Maps. In this paper we discuss its features in the light of authoring support, giving illustrative examples to highlight its use.

Keywords: Ontologies, digital libraries, courseware, Topic Maps.

ACM Classification Keywords: H.5.4 Information Interfaces and Presentation: Hypertext/Hypermedia – navigation.

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AUTHORS SUPPORT IN THE TM4L ENVIRONMENT

Darina Dicheva, Christo Dichev

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p03.pdf

Abstract: One of the main characteristics of the world that we live in is the access to information and one of the main ways to reach the information is the Internet. Most Internet sites put accessibility problem on a secondary plan. If we try to define this concept (accessibility) we could say that accessibility it’s a way to offer access to information for the people with disabilities. For example blind people can’t navigate on the Internet like usual people. For that reason Internet sites have to put at their disposal ways to make their content known to this people. Accessibility does not refer only at blind people the web accessibility refers to all people who lost their ability to access the Internet sites. The web accessibility includes every disability that stops people with disabilities to access the web sites content like hearing disability, neurological and cognitive. People that have low speed Internet connection or with low performance computers can use the web accessibility.

Keywords: Accessibility, Adaptability, Adaptable interfaces, Interactive database

ACM Classification: H 5.2. Information interfaces and presentation (e.g., HCI): Miscellaneous.

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WEB INTERFACES DESTINED FOR PEOPLE WITH DISABILITIES

Laura Ciocoiu, Ionuţ Petre, Dragoş Smada, Dragoş Nicolau

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-5-p01.pdf

Abstract: The current INFRAWEBS European research project aims at developing ICT framework enabling software and service providers to generate and establish open and extensible development platforms for Web Service applications. One of the concrete project objectives is developing a full-life-cycle software toolset for creating and maintaining Semantic Web Services (SWSs) supporting specific applications based on Web Service Modelling Ontology (WSMO) framework. According to WSMO, functional and behavioural descriptions of a SWS may be represented by means of complex logical expressions (axioms). The paper describes a specialized userfriendly tool for constructing and editing such axioms – INFRAWEBS Axiom Editor. After discussing the main design principles of the Editor, its functional architecture is briefly presented. The tool is implemented in Eclipse Graphical Environment Framework and Eclipse Rich Client Platform.

Keywords: Web services, Semantic Web Services, Web Service Modelling Ontology framework.

ACM Classification Keywords: H.5.2 User Interfaces: Graphical user interfaces (GUI)

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INFRAWEBS AXIOM EDITOR – A GRAPHICAL ONTOLOGY-DRIVEN TOOL FOR CREATING COMPLEX LOGICAL EXPRESSIONS

Gennady Agre, Petar Kormushev, Ivan Dilov

http://www.foibg.com/ijita/vol13/ijita13-2-p12.pdf