scholarly journals Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real-Time, Dynamic Decision-Making Task

2016 ◽  
Vol 9 (2) ◽  
pp. 374-394 ◽  
Author(s):  
Catherine Sibert ◽  
Wayne D. Gray ◽  
John K. Lindstedt
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Feature Learning ◽  
Dynamic Decision Making ◽  
Learning Models ◽  
Time Dynamic

Predicting real-time adaptive performance in a dynamic decision-making context

2014 ◽  
Vol 20 (6) ◽  
pp. 715-732 ◽  
Author(s):  
Darren Good
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Computer Game ◽  
Dynamic Decision Making ◽  
Adaptive Performance ◽  
Time Dynamic ◽  
Individual Capacity ◽  
Cognitive Agility ◽  
The Individual ◽  
Networked Fire Chief

AbstractIndividuals in organizations must frequently enact a series of ongoing decisions in real-time dynamic contexts. Despite the increasing need for individuals to manage dynamic decision-making demands, we still understand little about individual differences impacting performance in these environments. This paper proposes a new construct applicable to adaptation in such real-time dynamic environments. Cognitive agility is a formative construct measuring the individual capacity to exhibit cognitive flexibility, cognitive openness and focused attention. This study predicts that cognitive agility will impact adaptive performance in a real-time dynamic decision-making microworld computer game called the Networked Fire Chief; a simulation developed to study and train Australian fire fighters. Cognitive agility, operationalized through three distinct methods (performance measures, self-reports and external-rater reports), explained unique variance beyond measures of general intelligence on the total score of adaptive performance in the microworld.

scholarly journals Decision-Making in a Real-Time Business Simulation Game: Cultural and Demographic Aspects in Small Group Dynamics

2017 ◽  
Vol 16 (03) ◽  
pp. 779-815 ◽  
Author(s):  
Johanna Bragge ◽  
Henrik Kallio ◽  
Tomi Seppälä ◽  
Timo Lainema ◽  
Pekka Malo
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Group Size ◽  
Group Dynamics ◽  
Small Groups ◽  
Operations Management ◽  
Group Performance ◽  
Dynamic Decision Making ◽  
Simulation Game ◽  
Business Simulation

Simulated virtual realities offer a promising but currently underutilized source of data in studying cultural and demographic aspects of dynamic decision-making (DDM) in small groups. This study focuses on one simulated reality, a clock-driven business simulation game, which is used to teach operations management. The purpose of our study is to analyze the characteristics of the decision-making groups, such as cultural orientation, education, gender and group size, and their relationship to group performance in a real-time processed simulation game. Our study examines decision-making in small groups of two or three employees from a global manufacturing and service operations company. We aim at shedding new light on how such groups with diverse background profiles perform as decision-making units. Our results reveal that the profile of the decision-making group influences the outcome of decision-making, the final business result of the simulation game. In particular, the cultural and gender diversity, as well as group size seem to have intertwined effects on team performance.

Dynamic Decision Making for Commercial Fleet Operations Using Real-Time Information

1996 ◽  
Vol 1537 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Amelia C. Regan ◽  
Hani S. Mahmassani ◽  
Patrick Jaillet
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Dynamic Decision Making ◽  
Simulation Framework ◽  
Trade Offs ◽  
Conflicting Objectives ◽  
Dynamic Dispatching ◽  
Real Time Information ◽  
Fleet Operations ◽  
Time Information

The application of intelligent transportation system technologies to freight mobility requires dynamic decision-making techniques for commercial fleet operations, using real-time information. Recognizing the productivity-enhancing operational changes possible using real-time information about vehicle locations and demands coupled with constant communication between dispatchers and drivers, a general carrier fleet management system is described. The system features dynamic dispatching, load acceptance, and pricing strategies. A simulation framework is developed to evaluate the performance of alternative load acceptance and assignment strategies using real-time information. Real-time decision making for fleet operations involves balancing a complicated set of often conflicting objectives. The simulation framework provides a means for exploring the trade-offs between these objectives. Results suggest that reductions in cost and improvements in service quality should result from the use of dynamic dispatching (assignment) strategies in addition to traditional planning tools. These results and the overall simulation framework are discussed.

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