Title

A Scenario Generation Framework For Automating Instructional Support In Scenario-Based Training

Keywords

Functional L-systems; Intelligent training; Procedural modeling; Scenario generation

Abstract

Within training, scenario creation can be a long and costly activity. This often results in the same scenarios being re-used. While this can work with new trainees, it does not provide effective training for those using a system for continuing training. In order to provide an easier capability for instruction, the authors are pursuing a line of research in scenario generation. While this includes methods for instructors to build scenarios easily via a manual process, automated approaches for scenario generation are also being investigated. The authors have previously completed efforts in reviewing the needs of a scenario generation system (Martin et al., 2009) and in building a conceptual model for scenarios and how varying complexity can be achieved. This paper provides a review of this work and then presents a computational approach to automated scenario generation. The authors are pursuing research investigating processes and tools for scenario generation, both manual and automated. A recently re-discovered approach (Shape Grammars) and a newly-developed approach (Functional L-systems) each shows great promise for their use in automated scenario generation. However, based on their additional expressive power, the authors have chosen to use Functional L-systems within their software, which will be reviewed. © 2010 SCS.

Publication Date

12-31-2010

Publication Title

Spring Simulation Multiconference 2010, SpringSim'10

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1878537.1878574

Socpus ID

78650600408 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/78650600408

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