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Intelligent Behavioral Design of Non-player Characters in a FPS Video Game Through PSO

  • Guillermo Díaz
  • Andrés IglesiasEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10385)

Abstract

Although barely explored so far, swarm intelligence can arguably have a profound impact on video games; for instance, as a simple yet effective approach for the realistic intelligent behavior of Non-Player Characters (NPCs). In this context, we describe the application of particle swarm optimization to the behavioral design of NPCs in a first-person shooter video game. The feasibility and performance of our method is analyzed through some computer experiments. They show that the proposed approach performs very well and can be successfully used in a fully automatic (i.e., without any human player) and efficient way.

Keywords

Swarm intelligence Particle swarm optimization Video game Non-player characters Intelligent behavioral design 

Notes

Acknowledgements

This research work has been supported by Computer Science National Program, Spanish Ministry of Economy & Competitiveness, Project Ref. #TIN2012-30768, Toho University and the University of Cantabria.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Master Program in Creation of Video GamesUniversity Pompeu FabraBarcelonaSpain
  2. 2.Department of Information Science, Faculty of SciencesToho UniversityFunabashiJapan
  3. 3.Department of Applied Mathematics and Computational SciencesUniversity of CantabriaSantanderSpain

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