Title :
Emergence by strategy: Flocking boids and their fitness in relation to model complexity
Author :
Wagner, Michael ; Wentong Cai ; Lees, Michael Harold
Author_Institution :
Parallel & Distrib. Comput. Centre, Nanyang Technol. Univ., Singapore, Singapore
Abstract :
In this paper we aim to examine emergent properties of agent-based models by using evolutionary algorithms. Taking the model of flocking boids as an example, we study and try to understand how the pressure of natural selection towards strategic behavior can result in emergent behavior. Furthermore we investigate how an increase of complexity in the model affects those properties and discover some counter-intuitive behavior in the process.
Keywords :
evolutionary computation; multi-agent systems; predator-prey systems; agent-based models; counter-intuitive behavior; emergent behavior; emergent properties; evolutionary algorithms; flocking boid model; model complexity; natural selection; strategic behavior; Analytical models; Complexity theory; Computational modeling; Evolutionary computation; Noise; Predator prey systems; Vectors;
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
DOI :
10.1109/WSC.2013.6721532
