A Rapid Behavior Simulation Approach for Fishes

Article Preview

Abstract:

Simulating fish behavior is a typical application in artificial life studies. The traditional approaches are based on solving equations of mathematical physics. They are only able to simulate few fishes in real time. This motivates us to present a rapid approach capable of simulating fishes. Our approach adopts motion graph to represent the athletic ability of fish, and uses a path planning to simulate various behaviors based on the motion graph. Experiments show that this approach is very efficient and has great potential in simulating large-scale fish shoal.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

3035-3038

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Grzeszczuk, D. Terzopoulos. Automated learning of muscle actuated locomotion through control abstraction. In Computer Graphics Proceedings, Annual Conference Series, Proc. SIGGRAPH '95 (Los Angeles, CA). ACM SIGGRAPH, August (1995).

DOI: 10.1145/218380.218411

Google Scholar

[2] D. Baraff, A. Wittkin: Physically based modeling: Principles and practice. ACM Siggraph'97 Course Note, (1997).

Google Scholar

[3] G. Miller. The motion dynamics of snakes and worms. Computer Graphics, 1988(22): 169-178.

Google Scholar

[4] X. Tu, D. Terzopoulos. Artificial fishes: Autonomous locomotion, perception, behavior, and learning in a simulated physical world. Artificial Life, 1994, 1(4): 327-351.

DOI: 10.1162/artl.1994.1.4.327

Google Scholar

[5] C. Reynolds. Flocks, herds, and schools: A distributed behavioral model. Computer Graphics, 1987, 21(4): 25-34.

DOI: 10.1145/37402.37406

Google Scholar

[6] L. Kovar, M. Gleicher, F. Pighin. Motion graphs. ACM SIGGRAPH, 2002: 473-482.

DOI: 10.1145/566654.566605

Google Scholar