Trace-based multi-criteria preselection approach for decision making in interactive applications like video games

Trace-based multi-criteria preselection approach for decision making in interactive applications like video games

Hoang Nam Ho Mourad Rabah Samuel Nowakowski Pascal Estraillier 

Laboratoire L3i, Université de La Rochelle Avenue Michel Crépeau - 17042 La Rochelle Cedex 1 - France

LORIA, UMR 7503, Université de Lorraine Campus Scientifique, BP 239, Vandoeuvre-lès-Nancy, France

Corresponding Author Email: 
hoang_nam.ho@univ-lr.fr; mourad.rabah@univ-lr.fr; pascal.estraillier@univ-lr.fr; samuel.nowakowski@loria.fr
Page: 
311-335
|
DOI: 
https://doi.org/10.3166/RIA.31.311-335
Received: 
| |
Accepted: 
| | Citation

OPEN ACCESS

Abstract: 

The decision making in games is essential to make them more automated and smart. A decision algorithm performs its calculations on the set of all the possible solutions. This increases the computation time and may become a combinatorial explosion problem if we have a huge solution space. To overcome this problem, we present our work on relevant solutions preselection before making a decision. We propose a two-steps strategy: i) the first step analyzes system’s traces (users past executions) to identify all the potential solutions; ii) the second step aims to estimate the relevance, called utility, of each of these potential solutions. We get a set of alternative solutions that can be used as an input to any decision algorithm. We illustrate our approach on the Tamagotchi game.

Keywords: 

interactive adaptive system, traces, prediction, utility, multi-criteria decision making

1. Introduction
2. Positionnement des travaux
3. Système à base de traces
4. Approche de présélection des candidats multicritère à base de traces
5. Cas d’étude : jeu Tamagotchi
6. Conclusion
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