Multi-level Modeling and Cooperation Mechanisms of Tasks for Swarm Intelligent Systems

Author(s):  
Peng Li ◽  
Wenwen Fu ◽  
Hongjun You ◽  
Yuxi Liu ◽  
Zhihao Wu ◽  
...  
2020 ◽  
Vol 175 ◽  
pp. 05004
Author(s):  
Alexy Zotov ◽  
Vadim Gritsenko ◽  
Andrey Gazizov

The article is devoted to the issue of partial failure in complex technical systems. The authors analyze the diagnostic procedure in agricultural machinery for various purposes, the results of which provide a diagram of a multi-level organization for assessing the condition of equipment. It is also proposed to expand the range of estimated diagnostic parameters for making a more reliable managerial decision. The introduction of expert systems and other similar intelligent systems (for example, expert decision support systems) for diagnosing complex malfunctions is justified.


2020 ◽  
Vol 10 (1) ◽  
pp. 82-86
Author(s):  
Oleg Vanchulyak ◽  
Serhii Golub ◽  
Mariia Talakh ◽  
Vyacheslav Gantyuk

The work combines methods of multidimensional polarization microscopy, statistical processing of data and inductive modeling with the purpose of constructing a methodology for creation of intelligent systems for multi-level forensic medical monitoring based on the example of the post-mortem diagnosis of coronary heart disease and acute coronary insufficiency. The task of classifying the results of the study of biological materials for obtaining a diagnosis was solved. To obtain informative features, a model of biological tissue of the myocardium was developed and the main diagnostic parameters were determined (statistical moments of 1–4 orders of coordinate distributions of the values of azimuths and the ellipticity of polarization and their autocorrelation functions, as well as wavelet coefficients of the corresponding distributions), which are dynamic due to its necrotic changes. The classification of these data was provided by constructing a deciding rule in the multi – raw algorithm of the GMDH. The effectiveness of the described methodology has been experimentally proved.


2016 ◽  
Vol 5 (3) ◽  
pp. 71-79 ◽  
Author(s):  
Ahmed A. Elngar ◽  
Kamal A. ElDahshan ◽  
Ashraf Aboshosha ◽  
Eman K. Elsayed

Author(s):  
Vitaliy Ivanovich Chubaievskyi ◽  
Katerina Alekseevna Palahuta ◽  
Alona Mykolayivna Desiako

Urgency of the research. One of the typical tasks encountered in the de-signing of intelligent systems is modelling of the multilevel structures for solving various applied problems. Target setting. Consideration the possibilities of the language of artificial intelligence Visual Prolog for the implementation of recursive technology-based on the example of solving a multi-level task of product configuration. Actual scientific researches and issues analysis. Such scientists as Biletsky O. B., Lytvyn V. V., Chery S., Gottlob G., Luger G. F., Russell G.F. made significant contribution to the development of the theory, methodology of artificial intelligence application for solving problems in the field of economics. Uninvestigated parts of general matters defining. At the same time, insufficient scientific works highlight the features of the introduction of modern means of artificial intelligence for solving multilevel economic problems. The research objective. Analyze existing approaches to solving multi-level tasks. To propose an effective tool for solving multilevel tasks using artificial intelligence language Visual Prolog. The statement of basic materials. The problem of modeling of multilevel structures in intellectual systems on the basis of iterative and recursive technologies on the example of the problem of components is considered. The main characteristics of such structures are presented, their complexity is determined and the necessity of finding effective methods for their presentation and processing in the memory of the machine is given. There are two important paradigms in the development of recursive technologies: functional and logical programming. We consider the corresponding languages of artificial intelligence: Lisp and Prolog, their heirs and the most powerful language of Visual Prolog. The classical well-known iterative algorithm and the recursive program on the Prologue of solving the problem of the components of the internal combustion engine, as well as the recursive program on Visual Prolog, developed by the authors of the article, are given. Their comparison is made from the position of using the number of structures for the presentation of the information base, the cost of memory for their preservation, the complexity of developing and debugging the program, the ease of perception of their work. Conclusions. The power of the language Visual Prolog is emphasized, which is especially manifested in the tasks of processing multi-level structures.


Author(s):  
Ferdinand Keller ◽  
Tatjana Stadnitski ◽  
Jakob Nützel ◽  
Renate Schepker
Keyword(s):  

Zusammenfassung. Fragestellung: Über Veränderungen in der emotionalen Befindlichkeit von Jugendlichen während einer Suchttherapie ist wenig bekannt. Methode: Die Jugendlichen füllten wöchentlich einen entsprechenden Fragebogen aus, analog ihre Bezugsbetreuer eine parallelisierte Kurzfassung. Von 42 Jugendlichen liegen insgesamt 853 Bogen und von den Bezugsbetreuern 708 Bogen vor. Die Fragebogen wurden zunächst faktorenanalytisch hinsichtlich ihrer Dimensionalität ausgewertet, anschließend wurden gruppenbezogene Verlaufsanalysen (Multi-Level-Modelle) und Abhängigkeitsanalysen auf Einzelfallebene (Zeitreihenanalysen) durchgeführt. Ergebnisse: Im Jugendlichenfragebogen ergaben sich vier Faktoren: negative Befindlichkeit, Wertschätzung von Therapie/Betreuung, Motivation und Suchtdynamik. Die Übereinstimmung zwischen den Jugendlichen- und der (einfaktoriellen) Betreuereinschätzung fiel insgesamt niedrig bis mäßig aus, brachte aber auf Einzelfallebene differenziertere Ergebnisse. Im Verlauf nahmen die Werte auf allen vier Jugendlichenskalen ab. Einzig der Verlauf der Wertschätzung in der Eingewöhnungsphase war prädiktiv für den späteren Abbruch der Maßnahme: Bei den Abbrechern nahm die Wertschätzung ab, während sie bei den Beendern initial stieg. Schlussfolgerungen: Der bedeutsamste Faktor in Bezug auf die Therapiebeendigung suchtkranker Jugendlicher scheint die Wertschätzung von Therapie/Betreuung zu sein, während die Motivation jugendtypische Schwankungen aufweist. Der Suchtdynamik kam eine deutlich weniger bedeutende Rolle zu als allgemein angenommen. Programme in der Langzeittherapie sollten die Wertschätzung von Therapie/Betreuung künftig mehr fokussieren als die Suchtdynamik.


2017 ◽  
Author(s):  
Todd D. Smith ◽  
Mari-Amanda Dyal ◽  
Yongjia Pu ◽  
Stephanie Dickinson ◽  
David M. DeJoy

Sign in / Sign up

Export Citation Format

Share Document