Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-Physical Human–Machine Systems

2017 ◽  
Vol 47 (3) ◽  
pp. 323-331 ◽  
Author(s):  
Joao Quintas ◽  
Paulo Menezes ◽  
Jorge Dias
Keyword(s):  
Decision Support ◽  
Context Awareness ◽  
Information Model ◽  
Machine Systems ◽  
Architecture Specification

scholarly journals Uncertainties in complex dynamic environments

2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
User Interfaces ◽  
Dynamic Environments ◽  
Decision Making Process ◽  
Uncertain Information ◽  
Complex Environments ◽  
Complex Dynamic ◽  
Different Types ◽  
Machine Systems

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.

scholarly journals Decision support based on human-machine collective intelligence: stateof-the-art and conceptual model

2020 ◽  
pp. 60-70 ◽  
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Andrew Ponomarev
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Conceptual Model ◽  
Information And Communication Technologies ◽  
Process Model ◽  
Support Systems ◽  
Collective Intelligence ◽  
Computing Device ◽  
Machine Systems ◽  
Decision Support Process

Introduction: Due to the development of information and communication technologies and artificial intelligence, human-machine computing systems are becoming more widely used. However, in the vast majority of developments in this area, a human, in fact, plays the role of a “computing device”, who can only handle requests of a certain kind. Thus, human creativity and the ability to (self-)organize are largely discarded. Purpose: Developing a decision support concept based on the use of human-machine collective intelligence. Analyzing the current state of the problem in the field of constructing flexible human-machine systems. Proposing a conceptual model of the environment based on which decision support systems can be created. Results: A conceptual model of decision support is proposed based on human-machine collective intelligence. Its central concepts are: a) the problem at whose solution the human-machine collective activity is aimed, b) the collective of machines and people interacting through the environment to solve the problem, c) the process model which describes the decision support process in terms of information collection development and evaluation of alternatives. Practical relevance: The developed model can be a base to create a new class of decision support systems leveraging the self-organization potential of human-machine collectives.

scholarly journals AUTOMATED DECISION-MAKING SUPPORT SYSTEM FOR QUALIFICATION OF CRIMINAL OFFENSES AS AN ELEMENT OF HUMAN RIGHTS HEALTH PROTECTION SYSTEMS

2021 ◽  
Vol 74 (11) ◽  
pp. 2884-2890
Author(s):  
Valery F. Obolentsev ◽  
Oleh M. Hutsa ◽  
Dmytro B. Yelchaninov
Keyword(s):  
Decision Support ◽  
Law Enforcement ◽  
Decision Support System ◽  
Human Health ◽  
Support System ◽  
Legal System ◽  
Information Model ◽  
Criminal Offense ◽  
Criminal Offenses ◽  
Software Product

The aim: 1) To develop an informative model of the process of automated qualification of criminal offenses against human health for countries with a continental legal system; 2) on the basis of information model to create a decision support system in the form of a software product in terms of qualification of a criminal offense against human health. Materials and methods: The information model of the process of automated qualification of a criminal offense against human health was developed using the BPMN method on the basis of European countries’ legislation with a continental legal system. According to the information model, a decision support system was developed in the form of a software product. Results: 1. An information model of the process of automated qualification of criminal offenses against human health for countries with a continental legal system has been developed. 2. A system of decision support in the form of a software product as an element of law enforcement in terms of qualification of a criminal offense against human health. Conclusions: The proposed decision support system for automated qualification is a means of preventing unreasonable qualification of committed offenses as it minimizes the errors of this process. As a result, it will increase the preventive effect and the quality of law enforcement work to prevent crimes against human health.

scholarly journals The method of increasing the efficiency of the man-machine system functioning by improving the quality of decision support system software

2020 ◽  
pp. 125-132
Author(s):  
О.В. Турінський ◽  
М.А. Павленко ◽  
Г.В. Пєвцов ◽  
С.В. Осієвський
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Event Tree ◽  
System Software ◽  
Comprehensive Plan ◽  
Minimum Cover ◽  
System Functioning ◽  
Machine Systems

The article addresses improving the performance of man-machine systems (MMS) by improving the quality of decision support system software (DSSS). The proposed solutions are based on existing models and methods, which have been analysed in detail in a scientific study, in particular the application of methodical static application debugging in certain solutions obtained. It is proposed to use the methods for solving the problem of MMS control according to the vector criterion as the basis for solving this problem. A mechanism for synthesizing a comprehensive plan of operations to improve the quality of the DSS software is proposed, and the possibility of analysing the step-by-step implementation of a plan to obtain an analytical assessment is shown. For this purpose, a comprehensive plan is presented in the form of a relevance tree, built in accordance with the provisions of graph theory and the rank approach. The time complexity of the algorithms implementing the relevance tree tasks was evaluated. Based on the formalized solutions obtained, it was found that the maximum number of edges for a graph that implements the relevance tree does not exceed , the number of views of edges does not exceed , that is, the total number of operations that implements the scanning of edges and adding them to the weighted minimum cover (WMC) does not exceeds . It is established that during the implementation of the operation of adding ribs in the WMC, at each step, after the fixation of the previous result, the number of ribs to be examined decreases, so the total complexity of the algorithms will not exceed . The solutions obtained meet the requirements of DSTU ISO/IEC 9126, ISO DSTU / IEC 14598, and take into account the requirements of the Software Quality Requirements and Evaluation series of standards as the value of the vertices of the event tree graph. In the process of solving the problem, the specificity of the functioning of the MMS was taken into account, the possibility of formalizing various aspects of knowledge (aesthetic, disizional, causal, diontic) and ensuring a given level of efficiency in finding solutions.

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