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Gaming simulations with environmental trajectories that maximize information gain
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.ORCID iD: 0000-0003-1126-3781
2012 (English)In: Proceedings of the 2012 Winter Simulation Conference (WSC), IEEE , 2012, 6465068- p.Conference paper (Refereed)
Abstract [en]

Gaming simulations put real actors in simulated environments. Example applications are training and scenario analysis in transport operations and disaster management. Running a single gaming simulation is an expensive endeavor and therefore must be led through interesting scenario configurations to maximize the learning or research outcomes. This article presents an approach to automatically control the simulated environment in account for the real players' behavior such that a maximum usability of the session is ensured. The approach accesses elements from discrete choice theory and provides the game designer with different options to tailor the type of learning. An archetypical application demonstrates the usefulness of the approach.

Place, publisher, year, edition, pages
IEEE , 2012. 6465068- p.
, Winter Simulation Conference. Proceedings, ISSN 0891-7736
Keyword [en]
Disaster management, Discrete choice theories, Game designers, Gaming simulation, Information gain, Research outcome, Scenario analysis, Simulated environment, Transport operations
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-115966DOI: 10.1109/WSC.2012.6465068ISI: 000319225501034ScopusID: 2-s2.0-84874742149ISBN: 978-146734779-2OAI: diva2:588547
2012 Winter Simulation Conference, WSC 2012; Berlin; Germany; 9 December 2012 through 12 December 2012

QC 20130403

Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2013-12-12Bibliographically approved

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Flötteröd, GunnarMeijer, Sebastiaan
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ReferencesLink to record
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