TY - JFULL AU - Pierre Abou-Haila and Richard Hall and Mark Dawes PY - 2007/6/ TI - Representing Collective Unconsciousness Using Neural Networks T2 - International Journal of Computer and Information Engineering SP - 1500 EP - 1505 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/2286 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 5, 2007 N2 - Instead of representing individual cognition only, population cognition is represented using artificial neural networks whilst maintaining individuality. This population network trains continuously, simulating adaptation. An implementation of two coexisting populations is compared to the Lotka-Volterra model of predator-prey interaction. Applications include multi-agent systems such as artificial life or computer games. ER -