Modeling player-like behaviour for game Al design

Conroy, David, Wyeth, Peta, & Johnson, Daniel M. (2011) Modeling player-like behaviour for game Al design. In Romao, Teresa, Correia, Nuno, & Inami, Masahiko (Eds.) Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, Association for Computing Machinery Inc, Reitoria da Universidade Nova de Lisboa, Lisbon, pp. 1-8.

View at publisher


The design of artificial intelligence in computer games is an important component of a player's game play experience. As games are becoming more life-like and interactive, the need for more realistic game AI will increase. This is particularly the case with respect to AI that simulates how human players act, behave and make decisions. The purpose of this research is to establish a model of player-like behavior that may be effectively used to inform the design of artificial intelligence to more accurately mimic a player's decision making process. The research uses a qualitative analysis of player opinions and reactions while playing a first person shooter video game, with recordings of their in game actions, speech and facial characteristics. The initial studies provide player data that has been used to design a model of how a player behaves.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 48322
Item Type: Conference Paper
Refereed: Yes
Keywords: AI, Design, Player model, User study, Video games
DOI: 10.1145/2071423.2071434
ISBN: 9781450308274
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2011 Association for Computing Machinery Inc
Copyright Statement:

ACM Copyright notice. Copyright 2011 by the Association for Computing Machinery Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honoured. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to resdistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM Inc,

For other copying of articles that carry a code at the bottom of the first or last page, copying is permitted provided tha the per-copy fee indicated in the code is paid through the Copyright Clearance Centre, 222 Rosewood Drive, Danvers, MA 01923.

Deposited On: 31 Jan 2012 01:12
Last Modified: 31 Jan 2012 01:12

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page