The dissertation is devoted to solution for a complex scientific problem of solving the contradiction between the desire for effective decisions making by management of complex socio-technical systems and the lack of methodological bases for monitoring actual data in a distributed information space using intelligent technology, the use of which will ensure the validity and efficiency of management tasks fulfillment in sociotechnical systems. The analysis of methodological bases of the creation of information technologies of data monitoring in management systems is carried out. The analytical review found that existing approaches to the collection and processing of business information consider the information in general as a key element of any of the management functions, which requires reducing time for management decisions and increasing the relevance of information in decision-making systems. The analysis of existing approaches to the management of complex systems allowed us to classify the types of control systems and to separate the control system, which is characterized by a high degree of accounting for information from the external environment. Monitoring of actual data is a special type of information-analytical work that allows you to collect diverse business information and use it for management purposes. Solving the problem of decision support in management systems determines the definition of large and small decision-making circles and considers monitoring as an independent decision-making task. The analysis of properties of the distributed information space of monitoring of actual data is carried out. The conceptual bases of the creation of systems of monitoring of actual data in the distributed information space for the decision of problems of management in sociotechnical systems are considered. Based on the fact that traditional monitoring systems are focused on collecting data from internal sources, the management system ignores data from external sources. Therefore, it is proposed to supplement the existing approach to monitoring through the implementation of a monitoring system based on information synergy. A verbal description of the concept of monitoring relevant data to solve management problems in complex socio-technical systems is developed, which is based on the collection of three types of information: information on performance, which is contained in internal information sources; information on the state of the external business environment, which is publicly available on the Internet; information on the effectiveness of activities as a reflection in the external information space. Using the apparatus of category theory to represent the content of the information space allows you to operate on heterogeneous objects using common mechanisms and tools. A categorical model of the current data monitoring system is proposed. The models for a formalized description of information retrieval and collection processes, a data source model, a web page data collection model and a model for integrating information obtained from different data sources, and a model for extracting and identifying knowledge based on text processing are presented. The conceptual model of monitoring of actual data is offered, three components for support of the process of monitoring are allocated: a model of search of sources, a model of extraction of data, and a model of estimation of the received information. The solution to the problems of collecting factual information is based on models of information factual search and data extraction. The paper develops a method of collecting and identifying information to support decision-making by formalizing intellectual processes of information perception based on a set of reference models for collecting data from external sources, which allowed to reduce data and take into account the dynamics of the process. Multi-agent implementation of the developed models of search, collection, and evaluation of
monitoring data is offered. The application of the agent paradigm allows the use of parallel data processing, which is the basis for ensuring the timeliness of the information. The basic principles of creating a multi-agent system for searching, extracting, and interpreting information are developed. These tasks are decomposed into the interaction of agents that form the basis of the software system for monitoring current data. The formal architecture of the agent is offered, which provides the representation of the function of the agent on the basis of its mental model, given by the comparator. A multilayer agent model is proposed as a basis for creating intelligent monitoring systems to perform management tasks based on the ontological description of the processes of search, collection, and evaluation of relevant data.
