Evolutionary parallels

Jotsov, Vladimir

doi:10.1109/is.2002.1044254

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…Interactions of KA-LEIDOSCOPE with logical data mining methods FUNNEL and CROSSWORD are briefly described. More details on the system as a whole may be obtained from (Jotsov, 1999(Jotsov, , 2002(Jotsov, , 2008. Only the visualization part of the applications of FUNNEL and CROSSWORD has been considered in the paper, the other parts of the research may be found in the other quoted papers and in the ongoing research.…”

Section: Resultsmentioning

confidence: 99%

“…For this reason the process of solving such problems is long and evolutionary and principally it is hard to resolve without an emotional contact between the program and the user. The evolutionary part of this research is represented in (Jotsov, 2002).…”

Section: Figurе 1: the Combination Of Estimation Methodsmentioning

confidence: 99%

“…The process of the knowledge management in the considered education systems should be evolutionary as depicted in Figure 14. The applications are based on our previous work (Jotsov, 2002). In the end of this section we shall discuss the question how to process incomplete or incorrect ontologies.…”

Section: Evolution Of Ontologiesmentioning

confidence: 99%

“…Also, for sake of brevity few other data mining methods are briefly described aiming to show different important features of the considered education system. For more information the reader may investigate the other quoted papers (Jotsov, 1999(Jotsov, , 2002(Jotsov, , 2008. After that the main features are discussed: visualization of the method, the transfer of a sense during the dialog, and approaches how to make the human-machine interaction productive.…”

Section: Introductionmentioning

confidence: 99%

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Emotion-Aware Education and Research Systems

Jotsov¹

2009

InSITE Conference

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An emotion-aware method KALEIDOSCOPE is presented in the paper. It consists of a visualization approach, a method for information transfer-by-sense and applied approaches to maintain a natural-style dialog. The combination is purposed to provoke and keep positive emotions in the user and to maintain his interest in the problem. The main goal of this paper is to show how different machine-done visualized patterns lead to student's perceptions that can't be represented or estimated by the machine and how this is helpful during the educational process. It is shown that dynamic information presentations are superior to static ones. Original evolving (dynamic) ontology applications have been introduced. It is shown that the creation and maintenance of such ontologies may be a rather complicated process. Essential principles of an educational process using KALEIDOSCOPE method are introduced. It is shown that high quality education systems are far away from monotonic presentation forms, and that they are rather close to contemporary research systems. Both education and research systems use a clear and thoroughly understandable dialog depending on user's knowledge level. The considered education system is an active part of the human-computer dialog process. Instead of trying to estimate the user's emotions we apply a set of logical data mining methods aiming at making the human-computed interaction emotionaware. The educational part of the system is domain independent. Aiming to show domain independent approaches, the examples are introduced from Number Theory to language expressions and nonclassical logic applications. Applications are presented in the domain of Number Theory and IT information security systems.

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Section: Resultsmentioning

confidence: 99%

Section: Figurе 1: the Combination Of Estimation Methodsmentioning

confidence: 99%

Section: Evolution Of Ontologiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Emotion-Aware Education and Research Systems

Jotsov¹

2009

InSITE Conference

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“…В результате повышается качество БЗ и БД, а также достигается автоматическое или интерактивное разрешение разных форм конфликтов. При этом мы получаем один из эффективных вариантов машинного самообучения, при котором после прохождения через конфликты формируются улучшенные онтологии, модели и алгоритмы [18].…”

Section: пути разрешения конфликтовunclassified

The Ontology for the Semantic Conflicts Resolution

Йоцов¹,

Сгурев²,

Юсупов³

et al. 2014

Тр. СПИИРАН

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The method for detecting and deleting conflicts or contradiction in a database, and its modification for working with the knowledgebase are proposed. It shown, that another modern methods for conflicts avoiding are used the ontology, but they oriented only for a working with data or can not to resolve the conflicts. The proposed method is based on using of conflicts ontology, and conflicts elimination fulfilled in automatic or in a computer-aided regime. In complicated cases of a logical contradictions the elimination of ontology or of connections between sides of conflict is used. -Bibl. 19 items.* Работа поддержана темой РАН и БАН "Моделирование и интеллектуальное управление сложных систем" и проектом "Динамические онтологии в многоагентных информационных и управляющих системах" Министерства образования и науки -Республика Болгария.

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Human-centered methods for applications of fuzzy probabilities in intelligent systems

Jotsov¹,

Sgurev²

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791)

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Evolutionary parallels

Cited by 6 publications

References 9 publications

Emotion-Aware Education and Research Systems

Emotion-Aware Education and Research Systems

The Ontology for the Semantic Conflicts Resolution

Human-centered methods for applications of fuzzy probabilities in intelligent systems

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