прийняття рішень

The role of information and communication management in the strategic management of the organization is to ensure the effective collection, analysis and dissemination of information to achieve strategic goals. This area of management plays a critical role in the formulation and implementation of strategies because it allows the management of the organization to have access to important data to make informed decisions.

Purpose of the research. Exploration of the research gaps in order to understand how DAOs can encourage initiatives/practices to protect the interests of various stakeholders as well as identifying and comparing the main problems and prospects for creating and scaling DAOs in the existing economic realities. The following hypotheses that DAO is a form of science-oriented entrepreneurship and creates opportunities for involving unused entities in diverse   economic processes were analyzed.

Описано методології планування потреб у ресурсах. Проаналізовано програмні комплекси систем розподілу ресурсів і обґрунтовано потребу в розробленні своєї системи підтримки прийняття рішень. Проведено тестування прототипу СППР розподілу обмежених ресурсів, яка реалізує розроблені моделі та алгоритми.

Проаналізовано головні типи невизначеностей, які з’являються під час розв’язання задач сценарного планування. Запропоновано для подолання невизначе- ностей в задачах сценарного планування визначати інформаційні ситуації та відповідно до інформаційних ситуацій та типів невизначеності системно використовувати методи аналізу та прийняття рішень.

The article studies cognitive distortions (illusions) and the possibilities of using cognitive and emotional factors to make decisions by different market actors in conditions of uncertainty. The theoretical foundations of the irrational behavior of economic actors, based on cognitive or social reasons, are highlighted. The authors note that the functioning of the cognitive sphere of a person is often accompanied by certain errors that are scientifically attributed to cognitive distortions in the rational behavioral paradigm that cause distortions in the perception of reality.

The research in the domain of autonomous intelligent agent is the foreground of the introduction of artificial intelligence solution in all areas of economy. The intelligent autonomous systems combine the usage of pattern recognition, reasoning, decision making, conceptual modeling techniques and methods. The important part of intelligent agent implementation is to find the conceptualization which is suitable to the current problematic situation. Despite all progress around autonomous intelligent agents, humans are much more flexible and creative in making the right conceptualizations.

Formulation of the problem. Reforming of the public administration begun with Ukraine’s independence, starting with the collapse of the Soviet system, and up until now, when decentralization gradually forms an effective system of interaction between authorities at all levels. However, political and economic crises, pandemics and war force scientists and practitioners to look for survival mechanisms.

With the development of technological tools, it is increasingly common to meet systems which are using online messaging applications for communication with users. This process occurs with the help of so-called chatbots. Chatbot is a programmable application in which the algorithm of interaction with the user, provided by developers, is implemented. The bot provides information in the form of text or audio messages.

At this article proposed to use intelligent planning agents using ontological approach to automate the procedures of formation of many alternative solutions and the choice of rational decision in branch of GIS. It proposed to use the developed knowledge base in the field of methods of swarm intelligence based on adaptive ontology and a database of scientific publications in this field. All applied problems in the branch of geoinformation systems are divided into classes of problems: stationary, quasi-stationary, dynamic.

Проаналізовано ринок програмного забезпечення медичних систем та розроблено їх класифікацію за сферою застосування. З’ясовано, що інтелектуальні програми підтримки прийняття рішень, які допомагають лікарям в задачах вибору найоптимальнішого варіанта призначення лікування, створюють простір для подальшого вивчення та дослідження моделей цих систем.