This paper investigates the processes used by an evolved, embodied simulated agent to adapt to large disruptive changes in its sensor morphology, whilst maintaining performance in a phototaxis task. By avoiding the imposition of separate mechanisms for the fast sensorimotor dynamics and the relatively slow adaptive processes, we are able to comment on the forms of adaptivity which emerge within our Evolutionary Robotics framework. This brings about interesting notions regarding the relationship between diﬀerent timescales. We examine the dynamics of the network and ﬁnd diﬀerent reactive behaviours depending on the agent’s current sensor conﬁguration, but are only able to begin to explain the dynamics of the transitions between these states with reference to variables which exist in the agent’s environment, as well as within its neural network ‘brain’.
Fine, P., Di Paolo, E. A., Izquierdo, E. (2007). Adapting to your body. Proceedings of the 9th European Conference on Artificial life ECAL 2007. Springer-Verlag.