Artificial Intelligence in Subject-Oriented Control Paradigms

The article discusses unresolved problems and limitations that arise with application of artificial intelligence (AI). These problems are largely related to the fact that ideas about AI are often formed without taking into account the control paradigms. The most common ones are paradigms that consider artificial intelligence not as means included in control activities or control paradigms, but as independent objects of research in the paradigms corresponding to the specifics of such objects. Such paradigms contribute to the development of certain areas of AI, but they also complicate their application in control processes and ignore many potential areas of AI that are relevant to the development of control problems. The organization of control processes is based on their specific paradigms (subjective, cybernetic, etc.) that set such specific requirements to AI implementations as well as to tasks in which it is advisable to use AI. Such control paradigms form tasks for AI, which contributes to successful practical application and development of AI as well as to mechanisms for controlling and neutralizing negative consequences. The author proposes a mechanism for interaction of subjects (persons) and active forms of AI (considered as pseudo-subjects). Taking into account the increasing role of reflexive activity in the processes of social control, the article considers the place and role of AI in ensuring reflexive activity in the subject paradigms of control. Analysis of trends in the development of controlling from the standpoint of the development of scientific rationality (classical, non-classical, and post-non-classical) allows us to conclude that each subject paradigm of control (“subject - object,” “subject - subject,” and “subject - meta-subject”) has its own specifics, which should be considered when developing active forms of AI.

Motor Imagery Training of Reaching-to-Grasp Movement Supplemented by a Virtual Environment in an Individual With Congenital Bilateral Transverse Upper-Limb Deficiency

This study explored the effect of kinesthetic motor imagery training on reaching-to-grasp movement supplemented by a virtual environment in a patient with congenital bilateral transverse upper-limb deficiency. Based on a theoretical assumption, it is possible to conduct such training in this patient. The aim of this study was to evaluate whether cortical activity related to motor imagery of reaching and motor imagery of grasping of the right upper limb was changed by computer-aided imagery training (CAIT) in a patient who was born without upper limbs compared to a healthy control subject, as characterized by multi-channel electroencephalography (EEG) signals recorded before and 4, 8, and 12 weeks after CAIT. The main task during CAIT was to kinesthetically imagine the execution of reaching-to-grasp movements without any muscle activation, supplemented by computer visualization of movements provided by a special headset. Our experiment showed that CAIT can be conducted in the patient with higher vividness of imagery for reaching than grasping tasks. Our results confirm that CAIT can change brain activation patterns in areas related to motor planning and the execution of reaching and grasping movements, and that the effect was more pronounced in the patient than in the healthy control subject. The results show that CAIT has a different effect on the cortical activity related to the motor imagery of a reaching task than on the cortical activity related to the motor imagery of a grasping task. The change observed in the activation patterns could indicate CAIT-induced neuroplasticity, which could potentially be useful in rehabilitation or brain-computer interface purposes for such patients, especially before and after transplantation. This study was part of a registered experiment (ID: NCT04048083).

Masses and Power

The article is dedicated to the issue of political solidarity where masses act as a control subject and object at the same time. Political and legal technologies gained traction in the art nouveau period when the modern political landscape was formed. This experience remains relevant today.