scholarly journals ІНТЕЛЕКТУАЛЬНІ СИСТЕМИ: ПРИНЦИПИ ЕВРИСТИЧНОЇ САМООРГАНІЗАЦІЇ ПРОЦЕСІВ СМИСЛОВОГО МИСЛЕННЯ ТА СМИСЛОВОЇ ДІЯЛЬНОСТІ

Author(s):  
Серій Ілліч Доценко

The purpose of this study is to solve the following problems. The first task concerns the determination of the form of correspondence of factors that model the technological activity of the “process” and “resource” with factors that are subjected to simultaneous processing according to the central regularity of the integrative activity of the brain. The second task concerns the determination of possible forms of relationships for technological activity factors “process” and “resource” with concepts that characterize thinking processes, namely: “reflection”, “data”, “information”, “knowledge”, “meaning”, “thinking”, “intelligence”, “semantic thinking”, “understanding”. From the above analysis of the problems of representation, processing, and acquisition of knowledge, it follows that the main problem is the mismatch of the laws of formal logic with logic, which is realized in the thinking processes of living beings. Human intelligence in the theory of artificial intelligence is perceived as an auxiliary tool. In the theory of artificial intelligence, the model of an artificial neuron copies its structure but does not reproduce the processes that are realized in it. From a philosophical point of view, the basic concepts that reveal the content of thinking processes are the concepts of “reason” and “mind”. Moreover, the main property of the mind is its dialectics, which is manifested through the concept of "measure". The content of the concept of “measure” is defined in the form of a dialectical unity of the concepts of “general” (qualitative definition) “single” (quantitative definition). The methodological basis for the construction of all logical models is the methodology of a holistic approach based on which a logical model of holistic semantic activity is formed. In this model, the content of "duality" of the content of the concept of "activity" is disclosed. This ensured the definition of the principle of organizing the intellectual system into an organized whole in the form of the dialectical unity of certain tasks, as well as the principle of self-organization of its activities in the form of a mechanism to ensure compliance with the results of solving these problems. Based on the hypothesis about the equivalence of the technological activity of the natural intellectual system using the “process” and “resource” factors and the process of semantic thinking based on the central regularity of the integrative activity of the brain, a logical model for structuring excitations on the theory of functional systems has been developed. This model, along with the logical model of semantic activity (process), serves as the basis for the formation of logical models of levels 0 - 4. The principle of heuristic self-organization in the form of a fourth heuristic, namely, dialectical self-organization for the concepts of “general” “single”, is a fundamental principle of heuristic self-organization of pairs of factors for logical models. The architectures of these logical models are formed using two pairs of factors defined for each model. The fifth principle of heuristic self-organization follows from this: the architecture of logical models of semantic thinking and semantic activity are formed using two pairs of factors defined for each logical model, the elements of each of which are connected by cause-effect relationships, which in meaning correspond to pairs of process and resource factors, and correspond to the architecture of the Cartesian coordinate system.

Author(s):  
M. G. Koliada ◽  
T. I. Bugayova

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.


2019 ◽  
Vol 15 (2) ◽  
pp. 121-129
Author(s):  
Zhi Rao ◽  
Bo-xia Li ◽  
Yong-Wen Jin ◽  
Wen-Kou ◽  
Yan-rong Ma ◽  
...  

Background: Imatinib (IM) is a chemotherapy medication metabolized by CYP3A4 to Ndesmethyl imatinib (NDI), which shows similar pharmacologic activity to the parent drug. Although methods for determination of IM and/or NDI have been developed extensively, only few observations have been addressed to simultaneously determine IM and NDI in biological tissues such as liver, kidney, heart, brain and bone marrow. Methods: A validated LC-MS/MS method was developed for the quantitative determination of imatinib (IM) and N-desmethyl imatinib (NDI) from rat plasma, bone marrow, brain, heart, liver and kidney. The plasma samples were prepared by protein precipitation, and then the separation of the analytes was achieved using an Agilent Zorbax Eclipse Plus C18 column (4.6 × 100 mm, 3.5 µm) with gradient elution running water (A) and methanol (B). Mass spectrometric detection was achieved by a triplequadrupole mass spectrometer equipped with an electrospray source interface in positive ionization mode. Results: This method was used to investigate the pharmacokinetics and the tissue distributions in rats following oral administration of 25 mg/kg of IM. The pharmacokinetic profiles suggested that IM and NDI are disappeared faster in rats than human, and the tissue distribution results showed that IM and NDI had good tissue penetration and distribution, except for the brain. This is the first report about the large penetrations of IM and NDI in rat bone marrow. Conclusion: The method demonstrated good sensitivity, accuracy, precision and recovery in assays of IM and NDI in rats. The described assay was successfully applied for the evaluation of pharmacokinetics and distribution in the brain, heart, liver, kidney and bone marrow of IM and NDI after a single oral administration of IM to rats.


2021 ◽  
Vol 68 ◽  
pp. 102650
Author(s):  
Muhammed Kürşad Uçar ◽  
Zeliha Uçar ◽  
Kübra Uçar ◽  
Mehmet Akman ◽  
Mehmet Recep Bozkurt

1980 ◽  
Vol 10 (3) ◽  
pp. 265-270 ◽  
Author(s):  
A. S. Batuev ◽  
A. A. Pirogov ◽  
A. A. Orlov

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