Crushing Candy Crush : Predicting Human Success Rate in a Mobile Game using Monte-Carlo Tree Search
The purpose of this thesis is to evaluate the possibility of predicting difficulty, measured in average human success rate (AHSR), across game levels of a mobile game using a general AI algorithm. We implemented and tested a simulation based bot using MCTS for Candy. Our results indicate that AHSR c...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206595 |