Training of an intelligent agent to improve the gaming experience for video gamers

Authors

  • David Alejandro Alvarado Villa Universidad de Colima
  • Osval Antonio Montesinos López Universidad de Colima
  • Pedro C. Santana-Mancilla Universidad de Colima

DOI:

https://doi.org/10.47756/aihc.y6i1.105

Keywords:

Game experience, Dynamic complexity adjustment,, Video games, Gameplay

Abstract

Today, video games have come a long way compared to the video games offered by the first consoles, both in technology and gameplay. However, one thing today's video games have in common with respect to the early video games is the use of intelligent agents to create a more competitive gaming environment for the video gamer. This work proposes the use of machine learning to create intelligent agents that analyze the player's skills and adjust their difficulty level according to these skills, with the aim of achieving a more immersive gaming experience and avoiding frustration for the video player.

Downloads

Download data is not yet available.

Published

2021-11-30

How to Cite

[1]
Alvarado Villa, D.A. et al. 2021. Training of an intelligent agent to improve the gaming experience for video gamers. Avances en Interacción Humano-Computadora. 6, 1 (Nov. 2021), 123–125. DOI:https://doi.org/10.47756/aihc.y6i1.105.

Issue

Section

Graduate thesis reports

Most read articles by the same author(s)

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.