Title : ( Dynamic Difficulty Adjustment in Games by Using an Interactive Self-Organizing Architecture )
Authors: Mohammad Reza Akbarzadeh Totonchi , عادله ابراهیمی ,
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Abstract
If difficulty level of a game does not match player’s skills, the game could be frustrating or disappointing. In this paper we propose a self-organizing system (SOS) to adjust difficulty level of games. For this purpose, we use Artificial Neural Network and Interactive Evolutionary Algorithms to evolve Non-Player Characters (NPCs), and focus on player’s hidden responses to determine fitness of the system. Results show that the proposed interactive SOS can adapt itself with different level of skills.
Keywords
, Self Organizng System, Interactive Evolutionary Algorithm, CoOperative Coevolution, Non-Player Character.
@inproceedings{paperid:1041930,
author = {Akbarzadeh Totonchi, Mohammad Reza and عادله ابراهیمی},
title = {Dynamic Difficulty Adjustment in Games by Using an Interactive Self-Organizing Architecture},
booktitle = {Iranian Conference on Intelligent Systems (ICIS)2014},
year = {2014},
location = {بم, IRAN},
keywords = {Self Organizng System; Interactive Evolutionary
Algorithm; CoOperative Coevolution; Non-Player Character.},
}
%0 Conference Proceedings
%T Dynamic Difficulty Adjustment in Games by Using an Interactive Self-Organizing Architecture
%A Akbarzadeh Totonchi, Mohammad Reza
%A عادله ابراهیمی
%J Iranian Conference on Intelligent Systems (ICIS)2014
%D 2014
