Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors
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.
KeywordsComputer Animation Automatic Design Collective Behavior Evolutionary Techniques
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- 1.Collins, R.J., Jefferson, D.: Antfarm: Towards simulated evolution. In: Artificial Life II, pp. 579–601. Addison-Wesley, Reading (1992)Google Scholar
- 2.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)Google Scholar
- 3.Ray, T.S.: An approach to the synthesis of life. In: Artificial Life II, pp. 371–408. Addison-Wesley, Reading (1992)Google Scholar
- 4.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)Google Scholar
- 6.Cavalcanti, A., Freitas Jr., R.A., Kretly, L.: Nanorobotics Control Design: A Practical Approach Tutorial. Robotics Today 18(4) (2005)Google Scholar
- 9.Jones, A.R.: Animating interactions between agents who change their minds. Honours Thesis, Monash University (2003)Google Scholar
- 11.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)Google Scholar