Transaction of the Japanese Society for Evolutionary Computation
Online ISSN : 2185-7385
ISSN-L : 2185-7385
Original Paper : Special Issue of the 2020 Symposium on Evolutionary Computation
Random Number Generation Problems based on Cognitive Biases for In-Game Events
Report of Evolutionary Computation Competition 2020
Naoki HamadaSuguru OhoYuki TanigakiTomohiro HaradaYusuke Nojima
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2021 Volume 12 Issue 3 Pages 112-124

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Abstract

The Evolutionary Computation Competition (EC-Comp) is an optimization competition launched in 2017 to promote real-world applications of evolutionary computation and interaction between industry and academia. For 2017—2019, the competition has focused on continuous optimization problems in the manufacturing and aerospace industries. With the aim of exploring new areas of applications, EC-Comp2020 focused on "Designing Random Numbers to Entertain Game Players" in the game industry. Random numbers used in video games are usually generated by general-purpose pseudo random number generators, such as Mersenne Twister and Xorshift. However, these mathematically unbiased random numbers often make game players feel biased (sometimes even deliberately chosen), causing strong frustration. It is known that humans have various biases toward probabilistic events, and unbiased random numbers seem rather biased to game players. This competition asked to design a random number sequence that makes game players feel unbiased (but actually biased). This paper describes the definition of the random number design problem for entertaining game players in EC-Comp2020. This paper also explains the participants' optimization methods, accompanied with brief analysis on their results.

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© 2021 The Japanese Society for Evolutionary Computation
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