PMID- 34177127
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 0941-0643 (Print)
IS  - 1433-3058 (Electronic)
IS  - 0941-0643 (Linking)
VI  - 33
IP  - 15
DP  - 2021
TI  - BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation.
PG  - 9761-9773
LID - 10.1007/s00521-021-06180-7 [doi]
AB  - The use of games in daily life, especially in education, has been in an incline 
      during the COVID-2019 pandemic. Thus, game-based learning environments have 
      caused an increase in the need of game contents, but generation of the game 
      contents and levels is a time-consuming and costly process. Generated game 
      contents and levels should be balanced, dense, aesthetic and reachable. Also, the 
      time as well as the costs spent should be decreased. In order to overcome this 
      problem, automatic and intelligent game content and level generation methods have 
      emerged, and procedural content generation (PCG) is the most popular one of these 
      methods. Artificial intelligence techniques are used for procedural game level 
      generation instead of traditional methods. In this study, bidirectional long 
      short-term memory (BiLSTM) and fuzzy analytic hierarchy process-genetic algorithm 
      (FAHP-GA) methods were used to generate procedural game levels. This proposed 
      hybrid system was used in a developed educational game as a case study to create 
      game levels. The performance of the proposed study was compared to the other 
      multi-criteria decision-making (MCDM) methods, and also further statistical 
      analyses were investigated. The results showed that the BiLSTM-based FAHP-GA 
      method can be used for procedural game level generation effectively.
CI  - (c) The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of 
      Springer Nature 2021.
FAU - Ince, Murat
AU  - Ince M
AUID- ORCID: 0000-0001-5566-5008
AD  - Vocational School of Technical Sciences, Isparta University of Applied Sciences, 
      Cunur West Campus, Isparta, 32200 Turkey.
LA  - eng
PT  - Journal Article
DEP - 20210619
PL  - England
TA  - Neural Comput Appl
JT  - Neural computing & applications
JID - 9313239
PMC - PMC8214389
OTO - NOTNLM
OT  - Bilstm
OT  - Fuzzy analytic hierarchy process
OT  - Game level generation
OT  - Genetic algorithm
COIS- Conflict of interestThe author declares that there is no conflict of interest.
EDAT- 2021/06/29 06:00
MHDA- 2021/06/29 06:01
PMCR- 2021/06/19
CRDT- 2021/06/28 05:48
PHST- 2020/12/17 00:00 [received]
PHST- 2021/05/27 00:00 [accepted]
PHST- 2021/06/29 06:00 [pubmed]
PHST- 2021/06/29 06:01 [medline]
PHST- 2021/06/28 05:48 [entrez]
PHST- 2021/06/19 00:00 [pmc-release]
AID - 6180 [pii]
AID - 10.1007/s00521-021-06180-7 [doi]
PST - ppublish
SO  - Neural Comput Appl. 2021;33(15):9761-9773. doi: 10.1007/s00521-021-06180-7. Epub 
      2021 Jun 19.