Autors: Teodor Ukov., Tsochev, G. R.
Title: MACHINE LEARNING ALGORITHM FOR INTELLIGENT BOTS IN MULTIPLAYER VIDEO GAME: A CASE STUDY
Keywords: genetic algorithm, Hram Light, machine learning method

Abstract: This paper describes the results of a developed online machine learning method implemented in a real-time multiplayer game called Hram Light. The goal was to create a program which produces several ways of playing for a bot, which would become a virtual trainer for players. The solutions are required to vary in success rate in order to achieve progress in player improvement. The input of the method is a data model of parameters which describe a player’s way of playing in a game situation. The process of learning takes place in the online world and produces a variety of solutions via a genetic algorithm.

References

    Issue

    14, vol. 4, issue 14, pp. 67-78, 2022, Bulgaria, Publication of the Union of Scientists in Bulgaria, ISSN 1313-8251

    Цитирания (Citation/s):
    1. Kasakliev, Nikolay & Somova, Elena & Gocheva, Margarita. (2024). ARTIFICIAL INTELLIGENCE FOR GOOD AND BAD IN CYBER AND INFORMATION SECURITY. Mathematics and Informatics. 67. 82. 10.53656/math2024-1-6-art. - 2024 - в издания, индексирани в Scopus или Web of Science
    2. Kotevska, Ana & Rogleva, Nevenka. (2023). Short-Term Load Forecasting using Artificial Neural Networks techniques: A case study for Republic of North Macedonia. International Journal on Information Technologies and Security. 15. 97-106. 10.59035/MYSQ1937. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в реферирано издание, индексирана в Web of Science