PCG/PCGML evaluations: Introducing panda evaluation using the soft launch.

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Introducing panda evaluation using the soft launch - IOS Press

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Jun 9, 2022 · This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods from previous works,

PCG/PCGML evaluations: : Introducing panda evaluation using ...

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Jan 1, 2022 · This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods ...

Introducing panda evaluation using the soft launch - ResearchGate

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This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods from previous ...

PCG/PCGML evaluations: Introducing panda evaluation using the soft ...

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Abstract. This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods from ...

Introducing panda evaluation using the soft launch. | BibSonomy

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PCG/PCGML evaluations: Introducing panda evaluation using the soft launch. A. Moghadam, M. Rafsanjani, and V. Balas. J. Intell.

Arman Balali Moghadam - dblp

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PCG/PCGML evaluations: Introducing panda evaluation using the soft launch. J. Intell. Fuzzy Syst. 43(2): 2191-2210 (2022). [+][–]. Coauthor network. maximize.

Journal of Intelligent & Fuzzy Systems - Volume 43, issue 2

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PCG/PCGML evaluations: Introducing panda evaluation using the soft launch. Authors: Moghadam, Arman Balali | Rafsanjani, Marjan Kuchaki | Balas, Valentina ...

Author: Arman Balali Moghadam : Search - ACM Digital Library

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PCG/PCGML evaluations: Introducing panda evaluation using the soft launch ... This study takes a new perspective on the procedural content generation (PCG) ...

Journal of Intelligent & Fuzzy Systems - Volume 43, issue 2 - IOS Press

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PCG/PCGML evaluations: Introducing panda evaluation using the soft launch. Authors: Moghadam, Arman Balali | Rafsanjani, Marjan Kuchaki | Balas, Valentina ...

Arman Balali Moghadam Shahid Bahonar University of Kerman

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This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods from previous ...