Title :
Seeking open-ended evolution in Swarm Chemistry
Author_Institution :
State Univ. of New York, Binghamton Univ., Binghamton, NY, USA
Abstract :
This paper reports several new simulation results obtained with the revised Swarm Chemistry model. The model extensions included local transmission of recipes (kinetic rules) between particles, their stochastic differentiation, and competition and mutation of recipes. These extensions aimed to make the swarms capable of demonstrating open-ended evolution. The results indicated that “cooperation” among particles is essential for creating and maintaining macroscopic coherent structures, and that high mutation rates and dynamic environmental conditions may promote continuing evolutionary changes.
Keywords :
chemistry; chemistry computing; evolutionary computation; artificial chemistry framework; dynamic environmental conditions; kinetic rules; macroscopic coherent structures; mutation rates; open-ended evolution; recipe local transmission; stochastic differentiation; swarm chemistry model; Biological system modeling; Boundary conditions; Chemistry; Kinetic theory; Periodic structures; Probabilistic logic; Simulation;
Conference_Titel :
Artificial Life (ALIFE), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-062-8
DOI :
10.1109/ALIFE.2011.5954667