Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767618020> ?p ?o ?g. }
- W2767618020 abstract "Finding the ideal game parameters is a common problem solved by game designers by manually tweaking game parameters. The aim is to ensure the desired gameplay outcomes for a specific game, a tedious process which could be alleviated through the use of Artificial Intelligence: using automatic game tuning. This paper presents an example of this process and introduces the concept of simulation based fitness evaluation focused on strategic diversity. A simple but effective Random Mutation Hill Climber algorithm is used to evolve a Zelda inspired game, by ensuring that agents using distinct heuristics are capable of achieving similar degrees of fitness. Two versions of the same game are presented to human players and their gameplay data is analyzed to identify whether they indeed find slightly more varied paths to the goal in the game evolved to be the more strategically diverse. Although the evolutionary process yields promising results, the human trials are unable to conclude a statistically significant difference between the two variants." @default.
- W2767618020 created "2017-11-17" @default.
- W2767618020 creator A5015599654 @default.
- W2767618020 creator A5020976188 @default.
- W2767618020 creator A5028375409 @default.
- W2767618020 creator A5044149802 @default.
- W2767618020 date "2017-09-01" @default.
- W2767618020 modified "2023-09-23" @default.
- W2767618020 title "Automatic game tuning for strategic diversity" @default.
- W2767618020 cites W1544340870 @default.
- W2767618020 cites W1891427008 @default.
- W2767618020 cites W2028208918 @default.
- W2767618020 cites W2039870579 @default.
- W2767618020 cites W2125693710 @default.
- W2767618020 cites W2126316555 @default.
- W2767618020 cites W2144230296 @default.
- W2767618020 cites W2168115594 @default.
- W2767618020 cites W2169740139 @default.
- W2767618020 cites W2254213327 @default.
- W2767618020 cites W2485278515 @default.
- W2767618020 cites W2490603777 @default.
- W2767618020 cites W2559225160 @default.
- W2767618020 cites W2575813499 @default.
- W2767618020 cites W2582685648 @default.
- W2767618020 cites W2590714056 @default.
- W2767618020 cites W2598636128 @default.
- W2767618020 cites W2737735859 @default.
- W2767618020 cites W2765692642 @default.
- W2767618020 cites W2889249687 @default.
- W2767618020 cites W2963708837 @default.
- W2767618020 cites W2964262220 @default.
- W2767618020 doi "https://doi.org/10.1109/ceec.2017.8101624" @default.
- W2767618020 hasPublicationYear "2017" @default.
- W2767618020 type Work @default.
- W2767618020 sameAs 2767618020 @default.
- W2767618020 citedByCount "1" @default.
- W2767618020 countsByYear W27676180202020 @default.
- W2767618020 crossrefType "proceedings-article" @default.
- W2767618020 hasAuthorship W2767618020A5015599654 @default.
- W2767618020 hasAuthorship W2767618020A5020976188 @default.
- W2767618020 hasAuthorship W2767618020A5028375409 @default.
- W2767618020 hasAuthorship W2767618020A5044149802 @default.
- W2767618020 hasBestOaLocation W27676180202 @default.
- W2767618020 hasConcept C107457646 @default.
- W2767618020 hasConcept C111919701 @default.
- W2767618020 hasConcept C119857082 @default.
- W2767618020 hasConcept C127705205 @default.
- W2767618020 hasConcept C144024400 @default.
- W2767618020 hasConcept C144237770 @default.
- W2767618020 hasConcept C14642086 @default.
- W2767618020 hasConcept C154945302 @default.
- W2767618020 hasConcept C167573328 @default.
- W2767618020 hasConcept C177142836 @default.
- W2767618020 hasConcept C19165224 @default.
- W2767618020 hasConcept C202556891 @default.
- W2767618020 hasConcept C2780200862 @default.
- W2767618020 hasConcept C2781316041 @default.
- W2767618020 hasConcept C33923547 @default.
- W2767618020 hasConcept C41008148 @default.
- W2767618020 hasConcept C503285160 @default.
- W2767618020 hasConcept C73795354 @default.
- W2767618020 hasConcept C98045186 @default.
- W2767618020 hasConceptScore W2767618020C107457646 @default.
- W2767618020 hasConceptScore W2767618020C111919701 @default.
- W2767618020 hasConceptScore W2767618020C119857082 @default.
- W2767618020 hasConceptScore W2767618020C127705205 @default.
- W2767618020 hasConceptScore W2767618020C144024400 @default.
- W2767618020 hasConceptScore W2767618020C144237770 @default.
- W2767618020 hasConceptScore W2767618020C14642086 @default.
- W2767618020 hasConceptScore W2767618020C154945302 @default.
- W2767618020 hasConceptScore W2767618020C167573328 @default.
- W2767618020 hasConceptScore W2767618020C177142836 @default.
- W2767618020 hasConceptScore W2767618020C19165224 @default.
- W2767618020 hasConceptScore W2767618020C202556891 @default.
- W2767618020 hasConceptScore W2767618020C2780200862 @default.
- W2767618020 hasConceptScore W2767618020C2781316041 @default.
- W2767618020 hasConceptScore W2767618020C33923547 @default.
- W2767618020 hasConceptScore W2767618020C41008148 @default.
- W2767618020 hasConceptScore W2767618020C503285160 @default.
- W2767618020 hasConceptScore W2767618020C73795354 @default.
- W2767618020 hasConceptScore W2767618020C98045186 @default.
- W2767618020 hasLocation W27676180201 @default.
- W2767618020 hasLocation W27676180202 @default.
- W2767618020 hasOpenAccess W2767618020 @default.
- W2767618020 hasPrimaryLocation W27676180201 @default.
- W2767618020 hasRelatedWork W11572497 @default.
- W2767618020 hasRelatedWork W1608257583 @default.
- W2767618020 hasRelatedWork W1984211905 @default.
- W2767618020 hasRelatedWork W1990635216 @default.
- W2767618020 hasRelatedWork W2018622637 @default.
- W2767618020 hasRelatedWork W2020164103 @default.
- W2767618020 hasRelatedWork W2141821480 @default.
- W2767618020 hasRelatedWork W2183470481 @default.
- W2767618020 hasRelatedWork W2200701583 @default.
- W2767618020 hasRelatedWork W2206930713 @default.
- W2767618020 hasRelatedWork W2751195728 @default.
- W2767618020 hasRelatedWork W2918543091 @default.
- W2767618020 hasRelatedWork W2950893049 @default.
- W2767618020 hasRelatedWork W3047175146 @default.
- W2767618020 hasRelatedWork W3115501015 @default.