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Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Resources Optimization in (Video) Games: A Novel Approach to Teach Applied Mathematics?

Authors : Dario Maggiorini, Simone Previti, Laura Anna Ripamonti, Marco Trubian

Published in: Learning and Intelligent Optimization

Publisher: Springer Berlin Heidelberg

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Abstract

In spite of the efficacy of Operations Research (OR), its tools are still underused, due to the difficulties that people experience when describing a problem through a mathematical model. For this reason, teaching how to approach and model complex problems is still an open issue. A strong relation exists between (video) games and learning: for this reason we explore to which extent (real time) simulation video games could be envisaged to be an innovative, stimulating and compelling approach to teach OR techniques.

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previous chapter An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games
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Metadata
Title
Resources Optimization in (Video) Games: A Novel Approach to Teach Applied Mathematics?
Authors
Dario Maggiorini
Simone Previti
Laura Anna Ripamonti
Marco Trubian
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Learning and Intelligent Optimization

Print ISBN: 978-3-642-44972-7

Electronic ISBN: 978-3-642-44973-4

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-44973-4_20

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