Abstract
In this paper we present a software tool for the automatic design of collective behaviors in animated feature films. The most successful existing commercial solutions used in animation studios require an explicit knowledge by the designer of the AI or other techniques and involve the hand design of many parameters. Our main motivation consists in developing a design tool that permits creating the behaviors of the characters from a high level perspective, using general concepts related to the final desired objectives, and to judge these behaviors from a visual point of view, thus abstracting the designer from the computational techniques in the system core. In this case, a bioinspired approach has been followed consisting in the incremental generation of controllers for simulated agents using evolution. An example of flocking activity is created with the system.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Collins, R.J., Jefferson, D.: Antfarm: Towards simulated evolution. In: Artificial Life II, pp. 579–601. Addison-Wesley, Reading (1992)
Yaeger, L.: Computational genetics, physiology, metabolism, neural systems, learning, vision, and behavior or PolyWorld: Life in a new context. In: Proc. Workshop on Artificial Life (ALIFE92), vol. 17, pp. 263–298. Addison-Wesley, Reading (1994)
Ray, T.S.: An approach to the synthesis of life. In: Artificial Life II, pp. 371–408. Addison-Wesley, Reading (1992)
Terzopoulos, D., Tu, X., Grzeszczuk, R.: Artificial fishes with autonomous locomotion, perception, behavior, and learning in a simulated physical world. In: Proc. Artificial Life IV, pp. 17–27. MIT Press, Cambridge (1994)
Sims, K.: Evolving virtual creatures. Comp. Graphics 28, 15–22 (1994)
Cavalcanti, A., Freitas Jr., R.A., Kretly, L.: Nanorobotics Control Design: A Practical Approach Tutorial. Robotics Today 18(4) (2005)
Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21, 25–34 (1987)
Tu, X.: Artificial Animals for Computer Animation. LNCS, vol. 1635. Springer, Heidelberg (1999)
Jones, A.R.: Animating interactions between agents who change their minds. Honours Thesis, Monash University (2003)
Wolpert, D., Tume, K.: Optimal payoff functions for members of collectives. Advances in Complex Systems 4(2/3), 265–279 (2001)
Becerra, J.A., Bellas, F., Santos, J., Duro, R.J.: Complex Behaviours Through Modulation in Autonomous Robot Control. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, pp. 717–724. Springer, Heidelberg (2005)
Duro, R.J., Santos, J.: Discrete Time Backpropagation for training Synaptic Delay Based Artificial Neural Networks. IEEE Trans. on Artificial Neural Networks 10, 779–789 (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Caaman̈o, P., Prieto, A., Becerra, J.A., Duro, R., Bellas, F. (2007). Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors. In: Mira, J., Álvarez, J.R. (eds) Bio-inspired Modeling of Cognitive Tasks. IWINAC 2007. Lecture Notes in Computer Science, vol 4527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73053-8_59
Download citation
DOI: https://doi.org/10.1007/978-3-540-73053-8_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73052-1
Online ISBN: 978-3-540-73053-8
eBook Packages: Computer ScienceComputer Science (R0)