Character generation using interactive genetic algorithm

Umair Azfar Khan, Yoshihiro Okada

Research output: Contribution to conferencePaper

Abstract

A story is a collection of characters where they interact with each other and perform different actions. The actions done by the characters govern their orientation towards being good, bad or impartial. It is important that the correct character is placed in the proper role to make the story believable. In a general Role-Playing Game, the story and characters remain the same which reduces the replay-ability of the game. We need a system by which the creation of these characters must adhere to the roles as given in the story. Interactive Genetic Algorithms are used to define the orientation of the characters and also the physical appearance. As a result, the roles in a story are filled by characters that fit a certain physical and mental criteria. With time, the generated characters start to adhere to the choices made by the users while keeping a certain degree of randomness to keep the stories fresh.

Original languageEnglish
Pages31-35
Number of pages5
Publication statusPublished - Jan 1 2013
Event14th International Conference on Intelligent Games and Simulation, GAME-ON 2013 - Brussels, Belgium
Duration: Nov 25 2013Nov 27 2013

Other

Other14th International Conference on Intelligent Games and Simulation, GAME-ON 2013
CountryBelgium
CityBrussels
Period11/25/1311/27/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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  • Cite this

    Khan, U. A., & Okada, Y. (2013). Character generation using interactive genetic algorithm. 31-35. Paper presented at 14th International Conference on Intelligent Games and Simulation, GAME-ON 2013, Brussels, Belgium.