The Use of Executable Cognitive Models in Simulation-Based Intelligent Embedded Training

Author(s):  
Wayne Zachary ◽  
Joan Ryder ◽  
James Hicinbothom ◽  
Kevin Bracken

This paper defines a new role for expert models in intelligent embedded training — guiding practice. The integration of problem-based practice with focused, automated instruction has long proven elusive in training systems for complex real-world domains. The training strategy of ‘guided practice’ offers a way to merge the approaches of traditional simulation-based practice and intelligent tutoring's knowledge tracing. The performance of the trainee is dynamically assessed against scenario-specific expectations and performance standards, which are generated during the simulation by embedded models of expert operators. This research developed an executable cognitive model capable of solving realistic simulation scenarios in an expert-level manner, identified and implemented modifications and extensions to this baseline model needed to generate dynamic and adaptive expectations of future trainee actions, and developed means of providing cognitive state information for use in (separate) diagnostic processes, without resorting to full-scale knowledge tracing methods.

Author(s):  
Wayne Zachary ◽  
William Weiland ◽  
Daniel Scolaro ◽  
Jacqueline Scolaro ◽  
Thomas Santarelli

There is a need for simulation-based means to enable single individuals in deployed settings to receive instructorless training of teamwork and cross-platform coordination skills in realistic, mission-oriented scenarios. Synthetic Cognition for Operational Team Training (SCOTT) is a training architecture and method that meets this need by combining advanced human behavioral representation with intelligent tutoring and synthetic battle/work-spaces technologies, and combining them with emerging training methods of intelligent guided practice and objective-based training. The result is a general framework for deployable intelligent guided practice training systems with minimal human and computational footprint. An example SCOTT application is discussed, along with the human behavioral representation challenges posed by the SCOTT architecture.


Author(s):  
Alessandro Valgimigli ◽  
Enrico Bertocchi ◽  
Alberto Lazzarini ◽  
Luca D’agostino ◽  
Luca Splendi

The strong competition of the automotive market brings the industries to look continuously for more challenging comfort and performance standards. These requirements often contrast with the need for weight reduction related to the restrictive emissions limits. In this scenario, the investments aimed at increasing the structure efficiency (stiffness-to-weight ratio) become fundamental. The objective of this work is to propose a methodology that allows to identify the most important chassis areas in terms of efficiency: the design and research efforts could then be focused on the real determinant parts. This is done through a sensitivity process that works on frame subsystems and then on each component, first varying the material properties and then the thickness (and so the mass). The designing loadcases considered are the torsional stiffness, bending stiffness, modal analysis and frequency response analysis. The results show which are the most important subsystems and components that affects the chassis efficiency and that will have to be re-designed in order to improve the current architecture.


Author(s):  
Pavitra Dhamija

Competent intellectual capital is one of the most essential wealth that an organization requires in the present era of cutthroat competition. Operations management is nothing but management of operational processes in every big and small organization, and such activities constitute a major chunk of all organizational activities. Therefore, the present work targets to explore the association between intellectual capital and operational excellence, review of already conducted studies in the said area, and future directions through systematic literature review process. A total number of 165 articles provided by Scopus database (2010 to 2019) is used for analysis and interpretation. Bibliometric analysis and network analysis deliver significant clusters (operations management and optimization; intellectual capital and intellectual investment; knowledge management and decision support system; strategic planning and resource allocation; sustainable operations management and performance standards; behavioural research and change management), which is in turn a novel contribution of this article. The study concludes with a proposed conceptual model and key take away for researchers, academicians, and managers.


2016 ◽  
Vol 1 (2) ◽  
pp. 216
Author(s):  
Suela E.Shpuza

Performance is measured and done, the quality represents a key element to achieve the performance, especially customer service quality. In response to the pressure of globalization, the market increasingly competitive and volatile market dynamics that, many organizations actively seeking ways to add value to their services and improve their quality of service. Organizations usually tend to make their operations efficient priority. This process begins with the assessment of nevojave customers, their requirements and assessing the performance of domestic human resources in organization and performance depends on the outcome of the estimated earlier. Since this process can proceed in different directions. The causes of these results may be the lack of information and support of high-level management, performance standards unclear, inaccuracies assessors, very large number of forms to be completed and the use of software for the opposite purpose.


2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Jean-Marc Baste ◽  
Benjamin Bottet ◽  
Jean Selim ◽  
Matthieu Sarsam ◽  
Antoine Lefevre-Scelles ◽  
...  

CJEM ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 132-141 ◽  
Author(s):  
Evan Russell ◽  
Andrew Koch Hall ◽  
Carly Hagel ◽  
Andrew Petrosoniak ◽  
Jeffrey Damon Dagnone ◽  
...  

AbstractObjectivesSimulation-based education (SBE) is an important training strategy in emergency medicine (EM) postgraduate programs. This study sought to characterize the use of simulation in FRCPC-EM residency programs across Canada.MethodsA national survey was administered to residents and knowledgeable program representatives (PRs) at all Canadian FRCPC-EM programs. Survey question themes included simulation program characteristics, the frequency of resident participation, the location and administration of SBE, institutional barriers, interprofessional involvement, content, assessment strategies, and attitudes about SBE.ResultsResident and PR response rates were 63% (203/321) and 100% (16/16), respectively. Residents reported a median of 20 (range 0–150) hours of annual simulation training, with 52% of residents indicating that the time dedicated to simulation training met their needs. PRs reported the frequency of SBE sessions ranging from weekly to every 6 months, with 15 (94%) programs having an established simulation curriculum. Two (13%) of the programs used simulation for resident assessment, although 15 (94%) of PRs indicated that they would be comfortable with simulation-based assessment. The most common PR-identified barriers to administering simulation were a lack of protected faculty time (75%) and a lack of faculty experience with simulation (56%). Interprofessional involvement in simulation was strongly valued by both residents and PRs.ConclusionsSBE is frequently used by Canadian FRCPC-EM residency programs. However, there exists considerable variability in the structure, frequency, and timing of simulation-based activities. As programs transition to competency-based medical education, national organizations and collaborations should consider the variability in how SBE is administered.


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