Abstract: The operating model of knowledge quantum engineering for identification and prognostic decisionmaking in conditions of α-indeterminacy is suggested in the article. The synthesized operating model solves three basic tasks: Аt-task to formalize tk-knowledge; Вt-task to recognize (identify) objects according to observed results; Сt-task to extrapolate (prognosticate) the observed results. Operating derivation of identification and prognostic decisions using authentic different-level algorithmic knowledge quantum (using tRAKZ-method) assumes synthesis of authentic knowledge quantum database (BtkZ) using induction operator as a system of implicative laws, and then using deduction operator according to the observed tk-knowledge and BtkZ a derivation of identification or prognostic decisions in a form of new tk-knowledge.

Keywords: operating model, decision-making object, knowledge quantum database, target feature, method of different-level algorithmic knowledge quantum, implicative law.

ACM Classification Keywords: I.2.3 Deduction and Theorem Proving; I.2.4 Knowledge Representation Formalisms and Methods; I.2.5 Programming Languages and Software

Link:

OPERATING MODEL OF KNOWLEDGE QUANTUM ENGINEERING FOR DECISION-MAKING IN CONDITIONS OF INDETERMINACY

Liudmyla Molodykh, Igor Sirodzha

http://www.foibg.com/ijita/vol14/ijita14-1-p11.pdf

Abstract: The purpose of this paper is to study possibility and probability measures in continuous universes, taking different line to the one proposed and dealt with by other authors. We study the coherence between the probability measure and the possibility measure determined by a function that is both a possibility density and distribution function. For this purpose, we first examine functions that satisfy this condition and then we anlyze the coherence in some notable probability distributions cases.

Keywords: Measure, possibility, probability.

ACM Classification Keywords: I.2.3 Artificial Intelligence: Deduction and Theorem Proving (Uncertainty, “fuzzy” and probabilistic reasoning); I.2.4 Artificial Intelligence: Knowledge Representation Formalisms and Methods (Predicate logic, Representation languages).

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ON THE COHERENCE BETWEEN PROBABILITY AND POSSIBILITY MEASURES1

Elena Castineira, Susana Cubillo, Enric Trillas

http://www.foibg.com/ijita/vol14/ijita14-4-p01.pdf

Abstract. The parallel resolution procedures based on graph structures method are presented. OR-, AND- and DCDP- parallel inference on connection graph representation is explored and modifications to these algorithms using heuristic estimation are proposed. The principles for designing these heuristic functions are thoroughly discussed. The colored clause graphs resolution principle is presented. The comparison of efficiency (on the Steamroller problem) is carried out and the results are presented. The parallel unification algorithm used in the parallel inference procedure is briefly outlined in the final part of the paper.

Keywords: Automated Reasoning, Logical inference

ACM Classification Keywords: I.2.3 Artificial Intelligence: Deduction and Theorem Proving

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THE DEVELOPMENT OF PARALLEL RESOLUTION ALGORITHMS USING THE GRAPH REPRESENTATION

Andrey Averin, Vadim Vagin

http://www.foibg.com/ijita/vol13/ijita13-3-p10.pdf

Abstract. The article presents a new method to estimating usability of a user interface based on its model. The principal features of the method are: creation of an expandable knowledge base of usability defects, detection defects based on the interface model, within the design phase, and information to the developer not only about existence of defects but also advice on their elimination.

Keywords: Ontology, defects, interface model, user interface development

ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming

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A METHOD OF ESTIMATING USABILITY OF A USER INTERFACE BASED ON ITS MODEL

Valeriya Gribova

http://www.foibg.com/ijita/vol14/ijita14-1-p06.pdf

Abstract. A new method to implementation of dialog based on graphical static scenes using an ontology-based approach to user interface development is proposed. The main idea of the approach is to form necessary to the user interface development and implementation information using ontologies and then based on this high-level specification to generate the user interface.

Keywords: Ontology, interface model, user interface development

ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming

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DIALOG BASED ON GRAPHICAL STATIC SCENES MANAGED BY AN ONTOLOGY

Valeriya Gribova

http://www.foibg.com/ijita/vol13/ijita13-4-p04.pdf

Abstract. The article presents a new method to automatic generation of help in software. Help generation is realized in the framework of the tool for development and automatic generation of user interfaces based on ontologies. The principal features of the approach are: support for context-sensitive help, automatic generation of help using a task project and an expandable system of help generation.

Keywords: Ontology, task model, context-sensitive help, user interface development

ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming

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A METHOD OF CONTEXT-SENSITIVE HELP GENERATION USING A TASK PROJECT1

Valeriya Gribova

http://www.foibg.com/ijita/vol15/ijita15-4-p14.pdf

Abstract: The main principles and experience of development of learning integrated expert systems based on the third generation instrumental complex AT-TECHNOLOGY are considered.

Keywords: learning integrated expert systems, problem-oriented methodology, educational process.

ACM Classification Keywords: I.2..1 Artificial Intelligence: Applications and Expert Systems

Link:

OF LEARNING INTEGRATED EXPERT SYSTEMS IN THE EDUCATIONAL PROCESS

Galina Rybina, Victor Rybin

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-1-p07.pdf

Abstract: Methodology of computer-aided investigation and provision of safety for complex constructions and a prototype of the intelligent applied system, which implements it, are considered. The methodology is determined by the model of the object under scrutiny, by the structure and functions of investigation of safety as well as by a set of research methods. The methods are based on the technologies of object-oriented databases, expert systems and on the mathematical modeling. The intelligent system’s prototype represents component software, which provides for support of decision making in the process of safety investigations and investigation of the cause of failure. Support of decision making is executed by analogy, by determined search for the precedents (cases) with respect to predicted (on the stage of design) and observed (on the stage of exploitation) parameters of the damage, destruction and malfunction of a complex hazardous construction.

Keywords: computer-aided investigations, intelligent system, technical state, safety, construction, malfunction, failure, case-based reasoning.

ACM Classification Keywords: I.2.1 Applications and Expert Systems: Medicine and science, Industrial Automation

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AN INTELLIGENT SYSTEM FOR INVESTIGATIONS AND PROVISION OF SAFETY FOR COMPLEX CONSTRUCTIONS

Alexander Berman, Olga Nikolaychuk, Alexander Yurin, Alexander Pavlov

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-3-p03.pdf

Annotation: Optimization of design, creation, functioning and accompaniment processes of expert system is the important problem of artificial intelligence theory and decisions making methods techniques. In this paper the approach to its solving with the use of technology, being based on methodology of systems analysis, ontology of subject domain, principles and methods of self-organisation, is offered. The aspects of such approach realization, being based on construction of accordance between the ontology hierarchical structure and sequence of questions in automated systems for examination, are expounded.

Keywords: Expert systems, ontology, self-organisation

ACM Classification Keywords: I.2.1. Application and Expert Systems

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SELF-ORGANIZATION OF FUNCTIONING PROCESS OF EXPERT SYSTEM WITH THE USE OF SUBJECT DOMAIN ONTOLOGY

Elena Netavskaya

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p05.pdf

Abstract: The biggest threat to any business is a lack of timely and accurate information. Without all the facts, businesses are pressured to make critical decisions and assess risks and opportunities based largely on guesswork, sometimes resulting in financial losses and missed opportunities. The meteoric rise of Databases (DB) appears to confirm the adage that “information is power”, but the stark reality is that information is useless if one has no way to find what one needs to know. It is more accurate perhaps to state that, “the ability to find information is power”. In this paper we show how Instantaneous Database Access System (IDAS) can make a crucial difference by pulling data together and allowing users to summarise information quickly from all areas of a business organisation.

Keywords: data mining, natural language, parsing, SQL-query and production rules

ACM Classification Keywords: I.2.1 Application and Expert Systems – Natural language interface

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INSTANTANEOUS DATABASE ACCESS

Guy Francis, Mark Lishman, Vladimir Lovitskii, Michael Thrasher, David Traynor

http://www.foibg.com/ijita/vol14/ijita14-2-p09.pdf

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

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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

Link:

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

Link:

AUTOMATED PROBLEM DOMAIN COGNITION PROCESS IN INFORMATION SYSTEMS DESIGN

Maxim Loginov, Alexander Mikov

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