QUT ePrints

Modelling Fish Behaviour

Stephens, Kingsley M., Pham, Binh L., & Wardhani, Aster W. (2003) Modelling Fish Behaviour. In 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia.

View at publisher

Abstract

This paper studies the problem of creating artificial fish for real-time interactive virtual worlds aimed at desktop environments with hardware 3D support. The artificial fish developed have the ability to move, sense and think. Each fish is modelled with a Keyframed skeletal animated body, semi-physics based movement model, sensory abilities, internal motivations, a set of behaviour routines, and a behavioural selection mechanism. These features allow the fish to act autonomously using behavioural rules in response to sensory input from the environment and other fish. This autonomous ability enables definite behaviours to be described and observed in the fish that are not simply random, cyclic or scripted. Excellent work has been previously done on modelling sophisticated artificial fish. The contribution of this paper is to focus on the practical modelling of fish for game production.

Impact and interest:

6 citations in Scopus
Search Google Scholar™

Citation countsare 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.

Full-text downloads:

1,136 since deposited on 19 Feb 2005
210 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 741
Item Type: Conference Paper
DOI: 10.1145/604471.604488
ISBN: 1581135785
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2003 ACM Press
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher. This conference is available online - use links above.
Deposited On: 19 Feb 2005
Last Modified: 29 Feb 2012 22:57

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page