Response time methodology for testing between stochastic models of decision making

2009 ◽  
Author(s):  
Mario Fific ◽  
Jorg Rieskamp
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Stochastic Models

Performance-Based Adaptive Automation: Number of Task Types and Response Time Measures Triggering Level of Automation Changes

2021 ◽  
Vol 65 (1) ◽  
pp. 37-41
Author(s):  
Gloria Calhoun ◽  
Heath Ruff ◽  
Elizabeth Frost ◽  
Sarah Bowman ◽  
Jessica Bartik ◽  
...  
Keyword(s):  
Decision Making ◽  
Response Time ◽  
System Performance ◽  
Human Interaction ◽  
Adaptive Automation ◽  
Level Of Automation ◽  
Control Schemes ◽  
Task Types ◽  
A Performance

A key challenge facing automation designers is how to achieve an ideal balance of system automation with human interaction for optimal operator decision making and system performance. A performance-based adaptive automation algorithm was evaluated with two versus six monitored task types. Results illustrate the importance of level of automation choices in control schemes.

Models of Decision-Making Operators of Socio-Technical System

2017 ◽  
pp. 33-75 ◽  
Author(s):  
Tetiana Shmelova ◽  
Yuliya Sikirda
Keyword(s):  
Decision Making ◽  
Stochastic Models ◽  
Network Models ◽  
Technical System ◽  
Behavioral Activity ◽  
Neural Network Models ◽  
Markov Network ◽  
The Neural Network ◽  
Tree Models ◽  
Aerial Vehicle

In this chapter, the authors present Air Navigation System (ANS) as a Socio-technical System (STS). The authors present models of decision making (DM) operators of STS, such as the deterministic models obtained for using network planning; the stochastic models obtained for using decision-tree; models in uncertainty obtained for using criteria Vald, Laplace, Savage, Hurwicz and other. The authors presented also DM models of operators in ANS, such as the neural network models, fuzzy models, the Markov network models, GERT-models for modelling and forecasting of behavioral activity of ANS's Human-operator (H-O) in flight emergencies situation. The scenarios of developing a flight situation in case of selecting either the positive or negative pole in accordance with the reflexive theory have been obtained. They demonstrate some examples with DM's deterministic and stochastic models for engineers, pilots, air traffic controllers, Unmanned Aerial Vehicle (UAV) operators, managers etc. In addition, the chapter presents some examples of DM models developed by the author and students at National Aviation University.

scholarly journals Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

2020 ◽  
Vol 28 (2) ◽  
pp. 133-138 ◽  
Author(s):  
Aleksy Kwilinski ◽  
Aleksandra Kuzior
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Stochastic Models ◽  
Industrial Enterprise ◽  
Enterprise Management ◽  
Business Activity ◽  
Depth Of Penetration ◽  
Economic Mechanism ◽  
Industrial Enterprises

AbstractThe possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

scholarly journals Maintenance Decision-Making of an Urban Rail Transit System in a Regionalized Network-Wide Perspective

2020 ◽  
Vol 12 (22) ◽  
pp. 9734
Author(s):  
Baofeng Sun ◽  
Jiaojiao Liu ◽  
Junyi Hao ◽  
Xiuxiu Shen ◽  
Xinhua Mao ◽  
...  
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Network Design ◽  
Programming Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Nsga Ii ◽  
Transit System ◽  
Urban Rail ◽  
Maintenance Decision

The networked operation of Urban Rail Transit (URT) brings the new challenge of network-wide maintenance. This research focuses on the URT Network-Wide Maintenance Decision-Making Problem (URT-NMDP), including regionalized maintenance network design and maintenance resource allocation. In this work, we proposed a bi-objective integer programming model that integrates the characteristics of set coverage and P-median models, resulting in the regionalized maintenance network design model. Some critical factors are considered in the model, such as the importance of node, the maximum failure response time, and maintenance guarantee rules. We designed a NSGA-II based algorithm to solve the model. Moreover, due to the uncertainty of failures in the URT network, we developed the method of allocating maintenance resources based on Monte Carlo simulation to strengthen the reliability of the regionalized maintenance network. With the model and algorithm presented in this work, we obtained Pareto optimal solutions of URT-NMDP, i.e., URT network-wide maintenance planning schemes, which include the number and location of maintenance points, the allocation of demand points, and the amount of maintenance units. Finally, a real-world case is studied to evaluate the operating performance of these schemes for verifying the method in our paper. The results of the case study demonstrate that the reasonable and tested-in-practice maximum failure response time is the precondition for the efficient URT maintenance network. The maintenance scheme considered the weighted importance of node shows the optimal performance, with the shortest overall maintenance path and the minimum average failure response time and investment cost on maintenance resources.

“Engineering Resilience” Into Split-Second Shoot/No Shoot Decisions: The Effect of Muzzle-Position

2020 ◽  
pp. 109861112096068 ◽  
Author(s):  
Paul L. Taylor
Keyword(s):  
Decision Making ◽  
Law Enforcement ◽  
Response Time ◽  
Police Officers ◽  
Law Enforcement Officers ◽  
Deadly Force ◽  
Training Simulator ◽  
Randomized Controlled ◽  
Decision Environment ◽  
Randomized Controlled Experiment

The purpose of this study was to explore the feasibility of engineering resilience into the split-second decision environment police officers face during potential deadly force encounters. Using a randomized controlled experiment that incorporated a police firearms training simulator and 313 active law enforcement officers, this study examined the effects of muzzle-position – where an officer points their weapon – on both officer response time to legitimate threats and the likelihood for misdiagnosis shooting errors when no threat was present. The results demonstrate that officers can significantly improve shoot/no-shoot decision-making without sacrificing a significant amount of time by taking a lower muzzle-position when they are dealing with an ambiguously armed person – a person whose hands are not visible.

Collaborative Decision Making in Emergencies by the Integration of Deterministic, Stochastic, and Non-Stochastic Models

2021 ◽  
pp. 200-234
Author(s):  
Tetiana Shmelova
Keyword(s):  
Decision Making ◽  
Stochastic Models ◽  
General Information ◽  
Collaborative Decision Making ◽  
Stochastic Uncertainty ◽  
Risk Levels ◽  
Air Traffic Controllers ◽  
Multi Stage ◽  
Uncertainty Models ◽  
Collaborative Decision

The author makes an analysis of the ICAO documents on risk assessment. To determine the quantitative characteristics of risk levels, models for decision-making (DM) by the operators (pilots, air traffic controllers, engineers) under risk and uncertainty have been developed. The new methodology includes the process of integration deterministic, stochastic, and non-stochastic uncertainty models. Application of artificial intelligence (AI) models for the organization of collaborative decision making (CDM) by all aviation operators using individual models based on general information on the flight. The CDM models involve an uninterrupted process of presenting information, ensuring the synchronization of decisions, and the exchange of information an acceptable level of efficiency and safety were obtained. Models of multi-stage DM in risk conditions are presented taking into account threats at the stages of development of the situation. In addition, the chapter presents some examples of DM in an emergency (light strike) by the author and students at National Aviation University, Ukraine.

Comparing the Navigator’s Response Time in Collision and Grounding Accidents

2015 ◽  
Author(s):  
George Ad. Psarros
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Cognitive Processes ◽  
Probabilistic Model ◽  
Normal Flow ◽  
Task Execution ◽  
Accessible Information ◽  
Situational Assessment ◽  
Time Required ◽  
Communication Equipment

When the ship navigator (deck officer of the watch) is stressed, attention is narrowed and the normal flow of activities as well as action alternatives to be performed can be missed, ignored or discounted. Thus, the amount of time required integrating accessible information (i.e. displays, communication equipment, presence of hazards, etc.) and cope with the situation (course keeping or track changing) can be overestimated leading to poor or unsuccessful performance that may contribute to an accident. In order to understand how the navigator’s situational assessment can be improved, a probabilistic model is proposed consisting of three cognitive processes: information pre-processing, decision making and action implementation. This model can be evaluated by analyzing actual data derived from publicly available accident investigation reports concerning collisions and groundings. With this approach, it is possible to determine the minimum required time for navigation task execution so that erroneous behavior can be prevented from developing and materializing into an accident.

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