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

Author:

Moghadam Arman Balali1,Rafsanjani Marjan Kuchaki1,Balas Valentina Emilia2

Affiliation:

1. Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

2. Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

Abstract

This study takes a new perspective on the procedural content generation (PCG) evaluation problem, extracts current PCG evaluation methods from previous works, and presents a novel classification of these methods while showing each method’s capabilities. Also, the present study introduces a novel concept called Panda Evaluation. Additionally, the soft and hard launches were presented as two evaluation methods and possible building blocks of PE. A group of papers was analyzed to understand previous works and find new opportunities. In doing so, some missing PCG evaluation areas were found, and some new methods were proposed for future PCG evaluations. To the best of our knowledge, this is the first time these concepts have been presented in PCG evaluation.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. Amato A. , Procedural content generation in the game industry, in: Game Dynamics, O. Korn and N. Lee, eds., Springer, 2017, pp. 15–25.

2. LeapGestureDB: A public leap motion database applied for dynamic hand gesture recognition in surgical procedures, In: V. Balas, L. Jain, M. Balas (eds.) Soft Computing Applications. SOFA 2018;Amuer;Advances in Intelligent Systems and Computing,2021

3. Distance sensing with ultrasonic sensor and arduino;Anju Latha;Intenational Journal of Advance Research, Ideas and Innovovations in Technology,2016

4. Multi-feature recognition of English text based on machine learning

5. Insights to sensor technology and it’s applications;Bapat;International Journal of Engineering and Computer Science,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3