Training Situation Awareness and Adaptive Decision-Making Skills Using a Desktop Computer Simulation

2009 ◽  
Author(s):  
Robert J. Pleban ◽  
Jennifer S. Tucker ◽  
Vanessa Johnson Katie /Gunther ◽  
Thomas R. Graves
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Situation Awareness ◽  
Desktop Computer ◽  
Adaptive Decision Making

Training Situation Awareness and Adaptive Decision-Making Skills Using a Desktop Computer Simulation

2009 ◽  
Author(s):  
Robert J. Pleban ◽  
Jennifer S. Tucker ◽  
Vanessa Johnson ◽  
Katie Gunther ◽  
Thomas R. Graves
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Situation Awareness ◽  
Desktop Computer ◽  
Adaptive Decision Making

Models of decision support in socio-cyber-physical systems

2019 ◽  
pp. 55-70 ◽  
Author(s):  
A. V. Smirnov ◽  
T. V. Levashova
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Situation Awareness ◽  
Cyber Physical Systems ◽  
Emergent Behavior ◽  
Emergent Properties ◽  
Decision Making Process ◽  
Physical Systems ◽  
Decision Support Models ◽  
Common Goals

Introduction: Socio-cyber-physical systems are complex non-linear systems. Such systems display emergent properties. Involvement of humans, as a part of these systems, in the decision-making process contributes to overcoming the consequences of the emergent system behavior, since people can use their experience and intuition, not just the programmed rules and procedures.Purpose: Development of models for decision support in socio-cyber-physical systems.Results: A scheme of decision making in socio-cyber-physical systems, a conceptual framework of decision support in these systems, and stepwise decision support models have been developed. The decision-making scheme is that cybernetic components make their decisions first, and if they cannot do this, they ask humans for help. The stepwise models support the decisions made by components of socio-cyber-physical systems at the conventional stages of the decision-making process: situation awareness, problem identification, development of alternatives, choice of a preferred alternative, and decision implementation. The application of the developed models is illustrated through a scenario for planning the execution of a common task for robots.Practical relevance: The developed models enable you to design plans on solving tasks common for system components or on achievement of common goals, and to implement these plans. The models contribute to overcoming the consequences of the emergent behavior of socio-cyber-physical systems, and to the research on machine learning and mobile robot control.

Adaptive Decision-Making in Response to Crowd Formations in Building EXODUS

1999 ◽  
Vol 8 (4) ◽  
pp. 1-1 ◽  
Author(s):  
S. Gwynne, E. R. Galea, P. J. Lawrence
Keyword(s):  
Decision Making ◽  
Adaptive Decision Making

The Emergence of Adaptive Decision Making in Children

1997 ◽  
Vol 24 (1) ◽  
pp. 43-56 ◽  
Author(s):  
Jennifer Gregan‐Paxton ◽  
Deborah Roedder John
Keyword(s):  
Decision Making ◽  
Adaptive Decision Making

scholarly journals Age Differences in Adaptive Decision Making: The Role of Numeracy

2014 ◽  
Vol 40 (11) ◽  
pp. 825-833 ◽  
Author(s):  
Yiwei Chen ◽  
Jiaxi Wang ◽  
Robert M. Kirk ◽  
Olivia L. Pethtel ◽  
Allison E. Kiefner
Keyword(s):  
Decision Making ◽  
Age Differences ◽  
Adaptive Decision Making
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