Browse > Article
http://dx.doi.org/10.5391/JKIIS.2004.14.2.195

Boids′ Behavioral Modeling based Fuzzy Flocking  

Kwon, Il-Kyoung (한국표준과학연구원 인간정보그룹)
Lee, Sang-Yong (공주대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.2, 2004 , pp. 195-200 More about this Journal
Abstract
Computer games use an intelligent method called flocking for boids' group behavioral modeling. Flocking can naturally model group behavioral patterns of unpredictable forms such as birds and fishes using some computer resource. In this paper, we implemented an ecosystem which is composed of predator and prey for group behavioral modeling of real underwater ecosystem. Also fuzzy logic is applied to implement instinct desire of ecosystem elements. As the result, we confirmed that the model can overcome breakdown of ecosystem and model naturally ecosystem behavior.
Keywords
game; boid; flocking; fuzzy logic; group behavioral modeling;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Flock, Herds, and School: A Distributed Behavioral Model, "http://www.cs.toronto.edu/~dt/siggraph97- course/cwr87/"
2 Demetri Terzopoulos, Xiaoyuan Tu, Radek Grzeszczuk, "ARtificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in a Simulated Physical World" Published in Artificial Life, 1(4), pp. 327-351, 1994   DOI
3 Woodcock, Steven, "Flocking: A Simple Technique for Simulating Group Behavior" Game Programming Gems, Charles River Media, pp. 305-318, 2000.
4 이상용, “인공지능”, 도서출판 상조사, pp. 161-188, 2000.
5 RiverSoftAVG, "http://www.riversoftavg.com/flocking.htm"
6 Steve Rabin, "AI Game Programming Wisdom," Charles River Media, pp. 90-102.
7 Finite State Machine Tutorial "http://www.generation5.org/content/2003/FSM_Tutorial.asp"
8 Boids, "http://www.red3d.com/cwr/boids"
9 Reynolds, C. W., "Flocks, Herds and Schools: A Distributed Behavioral model" Computer Graphics, 21(4), SIGGRAPH '87 Proceedings, pp. 25-34, 1987.   DOI
10 O'Brien, Larry, "Fuzzy Logic in Games," Game Developer Magazine, April/May 1996, pp. 53.
11 Free Fuzzy Logic Library, "http://ffll.sourceforge.net"