Dynamic Difficulty Adjustment in Games by Using an Interactive Self-Organizing Architecture

被引：0

作者：

Ebrahimi, Adeleh ^{[1
]}

Akbarzadeh-T., Mohammad-R. ^{[2
]}

机构：

[1] Islamic Azad Univ, Dept Comp Engn, Mashhad Branch, Mashhad, Iran

[2] Ferdowsi Univ Mashhad, Ctr Excellence Soft Comp & Intelligent Informat P, Iran, Iran

来源：

2014 IRANIAN CONFERENCE ON INTELLIGENT SYSTEMS (ICIS) | 2014年

关键词：

Self Organizng System; Interactive Evolutionary Algorithm; CoOperative Coevolution; Non-Player Character;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：6

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