The adaptive method of decision making in problems of motion terminal control

Author(s):  
Vakhtang Rodonaia
2018 ◽  
Vol 79 (1) ◽  
pp. 58-63
Author(s):  
Yevhen Volodarsky ◽  
◽  
L Kosheva ◽  
M Klevtsova ◽  
◽  
...  

2020 ◽  
Vol 34 (22n24) ◽  
pp. 2040142
Author(s):  
Te-Jen Su ◽  
Kun-Liang Lo ◽  
Feng-Chun Lee ◽  
Yuan-Hsiu Chang

Aircraft approaching is the most dangerous phase in every complete flight. To solve the pressure of air traffic controllers and the landings delayed problems caused by the huge air traffic flow in Terminal Control Area (TCA), an automatic Air Traffic Control (ATC) instructions system is initially designed in this paper. It applies the fuzzy theory to make instant and appropriate decisions which can be transmitted via Controller-Pilot Datalink Communications (CPDLC). By means of the designed system, the decision-making time can be saved and the human factors can be reduced to avoid the flight accidents and further delays in aircraft approaching.


2019 ◽  
Author(s):  
Sara Suárez-Almiñana ◽  
Abel Solera ◽  
Jaime Madrigal ◽  
Joaquín Andreu ◽  
Javier Paredes-Arquiola

Abstract. Climate change and its possible effects on water resources has become an increasingly near threat. Therefore, the study of these impacts in highly regulated systems and those suffering extreme events is essential to deal with them effectively. This paper responds to the need of an effective methodology that integrates the climate change projections into water planning and management to guide complex basin decision-making through drought risk and management assessments. In this study is presented an adaptive method based on a model chain and correction processes, where the main outcomes are the impacts on future natural inflows, a drought risk indicator and the simulation of the future water storage of the water resources system (WRS) under consideration. The proposed methodology was applied in the Júcar River Basin (JRB) due to its complexity and the multiannual drought events it goes through. The results shown a decreasing tendency of future inflows to the basin, and the drought risk indicator shows a high probability (≈ 80 %) of being under 50 % of total capacity of the WRS in the near future, but the uncertainty is considerable from the middle century onwards, indicating that an improvement in the skill of climate projections is required. Thus, this paper also highlights the difficulties of developing this type of methods, since the conclusions on climate change impact assessment depend on partial decisions taken during the methodological processes. However, the main results call for action in the JRB and the tool developed can be considered as a feasible option to facilitate and support decision-making in future water planning and management.


2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.


2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2014 ◽  
Vol 38 (01) ◽  
pp. 46
Author(s):  
David R. Shanks ◽  
Ben R. Newell

2014 ◽  
Vol 38 (01) ◽  
pp. 48
Author(s):  
David R. Shanks ◽  
Ben R. Newell

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


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