Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa

Tämä tutkimus käsittelee koneoppimiseen perustuvan proseduraalisen generaation (PCGML) hyödyntämistä peliympäristöjen tuotannossa. PCGML on proseduraalisen generaation muoto, jossa sisältöä tuotetaan hyödyntämällä koneoppimismenetelmiä. Tutkimuksessa analysoidaan PCGML:ään liittyvää viimeaikaista tu...

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Main Author: Nykänen, Otto
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:fin
Published: 2024
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/95732
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author Nykänen, Otto
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Nykänen, Otto Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Nykänen, Otto Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Nykänen, Otto
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description Tämä tutkimus käsittelee koneoppimiseen perustuvan proseduraalisen generaation (PCGML) hyödyntämistä peliympäristöjen tuotannossa. PCGML on proseduraalisen generaation muoto, jossa sisältöä tuotetaan hyödyntämällä koneoppimismenetelmiä. Tutkimuksessa analysoidaan PCGML:ään liittyvää viimeaikaista tutkimusta kirjallisuuskartoituksen muodossa. Tutkimuksessa selvitetään miten PCGML:ää on hyödynnetty peliympäristöjen tuotannossa, millaisia hyötyjä PCGML tarjoaa ja millaisia haasteita PCGML:n viimeaikaisessa tutkimuksessa on löytynyt. This research explores the use of Procedural Content Generation via Machine Learning (PCGML) in creation of game environments. PCGML is a method of Procedural Content Generation (PCG) where content is generated using machine learning methods. Literature review is used as the main research method to survey recent academic research related to PCGML. This research attempts to find out how PCGML has been applied to generation of game environments, what benefits PCGML has been found to have and how researchers have addressed the challenges related to PCGML.
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spellingShingle Nykänen, Otto Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa proseduraalinen generaatio koneoppimiseen perustuva proseduraalinen generaatio PCG PCGML Tietotekniikka Mathematical Information Technology 602 koneoppiminen pelit
title Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_full Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_fullStr Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_full_unstemmed Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_short Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_sort koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
title_txtP Koneoppimiseen perustuva proseduraalinen generaatio peliympäristöjen tuotannossa
topic proseduraalinen generaatio koneoppimiseen perustuva proseduraalinen generaatio PCG PCGML Tietotekniikka Mathematical Information Technology 602 koneoppiminen pelit
topic_facet 602 Mathematical Information Technology PCG PCGML Tietotekniikka koneoppiminen koneoppimiseen perustuva proseduraalinen generaatio pelit proseduraalinen generaatio
url https://jyx.jyu.fi/handle/123456789/95732 http://www.urn.fi/URN:NBN:fi:jyu-202406114500
work_keys_str_mv AT nykänenotto koneoppimiseenperustuvaproseduraalinengeneraatiopeliympäristöjentuotannossa