*Proceeding Paper* **Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy †**

**Alexander A. Zatsarinnyy and Alexander P. Shabanov** *∗*

† Presented at the 15th International Conference "Intelligent Systems" (INTELS'22), Moscow, Russia, 14–16 December 2022.

**Abstract:** The methodological approach to controlling the level of intentions about new knowledge in the field of artificial intelligence, which are expressed by organizational systems in the scientific industry and in the real sector of the economy, is investigated. Control is carried out in a digital platform based on semantic databases, which are structured under control concepts, under data entity accounting strategies, under the functions of the implementation management process and under the requirements for the timeliness of data transmission. The novelty lies in the ranking of studies depending on the degree of coincidence of intentions. The practical significance is manifested in the priority provision of new knowledge, which is most significant in the digital economy.

**Keywords:** data conversion; information transfer; control loop; digital platform; innovative solutions

### **1. Introduction**

This study is a continuation of the works devoted to the problem of increasing the effectiveness of the scientific industry by increasing the number of scientific papers that are in demand in transposition structures—industry, regional, cross-border and other clusters, corporate and social systems, innovative and other associations of organizational systems, both conducting research and implementing it. Thus, the scientific significance of the research conducted in [1] lies in the possibility of creating a unified information management environment for real-time interaction of autonomous management systems of organizational systems that are consolidated on the basis of a digital platform.

As a result of the research presented in [2], innovative solutions have been developed to ensure the possibility of coordinated centralized management in a single information and control environment of a transposition structure.

The creation of a digital platform model placed in a transpositional structure and having the ability to reproduce an automated data routing process based on a classifier of standards allows interactions to be intensified between producers of scientific research, innovations and inventions, and their consumers. The description of this digital platform model is given in [3].

At the same time, the main problematic issue, which has a production and technological nature, still remains the need for expanded reproduction of technological solutions of artificial intelligence. Such solutions make it possible to simulate human cognitive functions and obtain results when performing specific tasks that are comparable, at least, with the results of human intellectual activity.

As part of the solution to this problem, the task is to develop a novel electronic model for the Intent Level Control process, implemented on the basis of a digital platform.

The solution of this problem was carried out using a methodological approach to managing the level of intentions about new knowledge in the field of artificial intelligence.

**Citation:** Zatsarinnyy, A.A.; Shabanov, A.P. Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy. *Eng. Proc.* **2023**, *33*, 48. https://doi.org/ 10.3390/engproc2023033048

Academic Editors: Askhat Diveev, Ivan Zelinka, Arutun Avetisyan and Alexander Ilin

Published: 17 July 2023

**Copyright:** © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44 Vavilova St. corpus 2, Moscow 119333, Russia; alex250451@mail.ru

**<sup>\*</sup>** Correspondence: apshabanov2017@gmail.com; Tel.: +7-905-508-03-23

These intentions are expressed by organizational systems in the scientific industry and in the real sector of the economy, and are presented in the form of the following sets of data:

*Ai*—a lot of intentions that are expressed by establishments of the scientific branch;

*Bj*—a lot of intentions that are expressed by enterprises of the real industry;

*C*—multiple levels of intentions that are ranked for any *ck* ⊂ *Ai* ∧ *ck* ⊂ *Bj*.

The set of data *C* contains the initial data that are used during calculations to determine the levels of coincidence of intentions between the interacting parties in the scientific industry and in the real sector of the economy.

The entities that are involved in the Intent Level Control process are shown in Figure 1.

**Figure 1.** Entity diagram for the Intent Level Control process. *Ai*—a lot of intentions that are expressed by establishments of the scientific branch; *Bj*—a lot of intentions that are expressed by enterprises of the real industry; *C*—multiple levels of intentions that are ranked for any *ck* ⊂ *Ai* ∧ *ck* ⊂ *Bj*.

#### **2. The Model of the Process of Control over the Degree of Coincidence of the Intentions of the Producer of New Knowledge and Their Potential Consumer**

Intent management is carried out in a digital platform based on the use of tools for semantic databases. Semantic databases are structured to solve the tasks that are assigned to the management concept, to the strategies of accounting and control of data entities, to the functions of the change management process and to the requirements for the timeliness of data transmission.

**Figure 2.** Scheme of the Intent Level Control process model.

The scientific novelty of the Intent Level Control process model (Figure 2) consists in creating a software and algorithmic reserve to improve the quality of new knowledge provided to the real sector of industrial artificial intelligence through priority selection for the most popular research results.

Thus, actions to introduce those innovative solutions that are most in demand in the real sector of the economy by manufacturers of microelectronic components and devices are undoubtedly capable of having a significant impact on the development of mass industrial production and the creation of competitive high-tech electronic products, which are the basis of components for artificial intelligence complexes.

The development presented in the Intent Level Control process model in Figure 2 used the following methodological approaches:


#### **3. On the Choice of a Strategy for the Implementation of the Accounting and Control System**

Based on the analysis of the practical goal of the task being solved—the introduction of the Intent Level Control process into the IT infrastructure of a digital platform as part of a transposition structure—it can be argued that, in order to achieve it, strategies must be correctly evaluated, both by the producer of new knowledge and their consumers, in relation to the implementation of the Intent Level Control process model in real production.

The management of the activities of information and telecommunication technologies in contemporary enterprises, with which the Intent Level Control process that is presented in this article is undoubtedly correlated, is also characterized by process technology. Process technology is carried out according to regulated procedures and with the assistance of automatized systems for collecting, accounting and structuring data on the parameters of control objects and the external environment.

The process technology in combination with the above systems allows the following:


At the same time, automatized accounting and control systems can be used, which are located in autonomous organizational systems that consolidate their actions as part of transposition structures. These automatized accounting and control systems were created in accordance with the requirements of organizational systems based on ready-made software products developed, in turn, for the implementation of well-known models for the management of information technology services (ITSM) [26].

The centralized nature of the digital platform, within which the Intent Level Control process should be reproduced, provides an opportunity to technologically justify an approach to building a digital platform, including a new component—an automatized accounting and control subsystem. In this variant, this subsystem at the operational stage should carry out the following:


When choosing a centralized option, there are different approaches to the process automation strategy for user support services and operational services that provide information and telecommunications services based on a digital platform. Consider the

following strategies for building a subsystem that implements the Intent Level Control process in interaction with the accounting and control subsystem:


The first two strategies are extreme options. The third strategy occupies an intermediate value between them.

Table 1 shows the features of strategies and the main conditions under which one or another strategy can be chosen for a digital platform as an organizational and technical complex.


**Table 1.** Selection criteria for choosing a digital platform development strategy.

The analysis of the strategies given in the table on the array of information contained in published sources that relate to the topic of digital platforms allows us to draw the following conclusions.

	- The products are provided with the necessary instructions and manuals;
	- Manufacturers, as a rule, have a network of partners to promote products on the market and to introduce them at enterprises;
	- The models that were the basis for the development of these products are sufficiently fully covered in publicly available sources.

In this regard, a typical solution has been developed to build an electronic model for a new process, which should be adapted to the needs of specific organizational and technical structures, in our case, to the needs for the implementation of the Intent Level Control process. This typical solution has the following features:


Procedures implementing the above processes include the following main types of actions:


To implement each typical process, the procedures include all of the above types of actions, as well as actions to notify the participants of the process and transfer control over the request to them. At the same time, individual procedures differ from each other in the types of their production focus, and are provided with their own information and reference materials.

**Figure 3.** The general scheme of implementing a digital model for the Intent Level Control process in the database.

The main structural elements for users are operational accounting and control cards, and the necessary reference information is entered into accounting and control cards from information cards in accordance with the established procedure. Changes are recorded in the accounting and control cards, and work with them is included in the work of the relevant services. Information cards in their entirety are directories of services, facilities, employees, services and other entities. Information cards are filled in as needed.

Based on the model solution discussed above, an automated activity support system was developed and operated in the Information Technology Department of RAO UES of Russia [33]. The effectiveness of this solution is to reduce service time by automating accounting and control functions by an average of 50% in the customer support service and by 10% in operational services. At the same time, specific values are determined for each service and the type of requirements that caused it, and depend on the ratio of the time spent by performers on performing accounting and control functions and performing production work.

Thus, the use of a typical solution for the introduction of the Intent Level Control process digital platform into the IT infrastructure, functionally compatible with the accounting and control subsystem, and adapted to the local conditions of the digital platform application, is able to provide the following:


The main tool for introducing the Intent Level Control process into the enterprise infrastructure is the change management process.

#### **4. Functional-Role Methodological Approach to Managing the Implementation of Intent Level Control Process**

Along with a methodical approach to implementing a digital model for the Intent Level Control process in the database of the digital platform (Figure 3), undoubtedly, a methodological approach to the implementation of, in fact, the Intent Level Control process in the IT infrastructure of the digital platform is also necessary.

Thus, the methodological approach to managing the implementation of the Intent Level Control process is composite and includes the following methodological approaches.


The main provisions of the first methodological approach are set out in the previous section of the article.

The second methodological approach is based on the concept of a document model in terms of semantic modeling [26]. Within the framework of this concept, a special place is occupied by the change management process, which is compared with the management process of implementing the Intent Level Control process into the IT infrastructure of a digital platform in a transpositional structure. At the same time, in accordance with the research topic discussed in this article, a change is understood as a set of formalized procedures for implementing the Intent Level Control process into the IT infrastructure of a digital platform in a transpositional structure.

The use of formalized approval and control procedures in the implementation management process ensures that the negative impact on the quality of other services provided to users of the digital platform during the changes related to the implementation of the Intent Level Control process is minimized. The following roles are installed:


Roles in the implementation management process are performed by robot programs or employees of the organizational system that is the operator of the digital platform. It depends on the stage of the project and on the state of operability of individual components of the digital platform. Organizational and analytical tasks are performed by employees.

*Initiator of changes* is a role as a result of which a new change is initiated, while the following functions are implemented: formation of a change request; registration of a change request; providing additional information regarding the requested change; visualization of the results of the change and closing the request.

*Change coordinator* is a role that results in the following functions: preliminary evaluation of a change request during registration; classification (risk and scale assessment) of changes; preliminary approval, decision-making, decision-making on standardization, analysis of the changes made—for changes in the category "requires approval"; implementation of the escalation of the change request—to change the category "requires approval"; evaluation of the results of the change—for the category "requires approval"; analyzes identified unauthorized changes in the category "requires approval".

*Advisory council on changes* is a role that unites service center employees. The advisory council on changes, if necessary, provides consultations within the framework of the analysis of the identified unauthorized changes in the category "requires approval".

*Process Manager* is a role performed by an assigned employee. Functions: monitoring compliance with the requirements of the regulations; providing, if necessary, advice and recommendations to the participants of the process; formation of an advisory council on changes.

*Council for urgent changes* performs the following main functions: analysis of submitted change requests; clarification of categorization and classification of changes; assessment of the consequences of changes and refusal to carry them out; assessment of the impact of changes; approval of changes.

*Unified dispatch service* performs the following main functions: interaction with the initiator of the request (receiving the request, notification); registration of change requests; sending change requests to the change coordinator to classify changes.

The general scheme of the implementation management process of the Intent Level Control process includes the following subprocesses.


A common functional and role-based scheme of actions for the implementation of the Intent Level Control process into a digital platform is shown in Figure 4.

**Figure 4.** A common functional and role-based scheme of actions for the implementation of the Intent Level Control process.

#### **5. Conclusions**

As part of the work to solve the problem of expanded reproduction of innovative technological solutions in the field of artificial intelligence, the scientific task of developing a new process model for centralized reproduction in a digital platform of information transfer processes about new knowledge necessary for the reproduction of high-tech products for the digital economy has been set and solved.

The task was solved in the course of scientific research to create a technological reserve in the form of models of software and hardware complexes that ensure the implementation of end-to-end technologies, to ensure the availability of modern design and production tools, to repeatedly expand the use of production, scientific and engineering resources, and to develop and unify means to ensure the interoperability of organizational systems in the transposition structures of the digital economy.

A new Intent Level Control process model has been developed, which is a representative of a class of software-defined network models. The novelty of the model is determined by the availability of functionality to determine the level of coincidence of intentions available to the organizational system—the producer of new knowledge, and the organizational system—the potential consumer of new knowledge.

Methodological approaches to the implementation of the Intent Level Control process in the IT infrastructure of the digital platform have been developed and the practical feasibility of ensuring the functional compatibility of this process with the accounting and control subsystem has been substantiated, which can reduce the time of information delivery and the inactivity of the process, and create prerequisites for reducing the cost of services for the transfer of new knowledge from their source to the consumer.

Thanks to the use of the Intent Level Control process model, the effectiveness of the scientific industry and the productive sector of the economy can be increased by increasing the number of studies that are most in demand for manufacturers of high-tech products in the field of artificial intelligence.

**Author Contributions:** These authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Not applicable.

**Conflicts of Interest:** The authors declare no conflict of interest.

#### **References**


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