Identification of the fundamental properties necessary for the generation of adaptive behaviour is one of the primary goals for Artificial Life. In this paper, we address the related question of whether we can identify general useful properties of a given solution class. Such an approach provides a potentially scalable framework that may enable us to… (More)
Recent years have seen the discovery of gaseous transmitters in biological nervous systems. An ANN inspired by such gaseous signalling, the Gas-Net, has previously been shown to be more evolv-able than traditional ANNs. Here we present 2 new versions of the GasNet which take further inspiration from the properties of gaseous signalling. The plexus model is… (More)
Recent results have shown the importance of the freely diffusing gas nitric oxide (NO) in modulation of synaptic activity. We present a review of our current research into the role of diffusing neuromodulators in both real and artificial neural networks. A model of NO diffusion from a realistic structure is described and two important features are… (More)
Multi-scale modelling has great use in computational neuroscience . This typically involves a stage of coarse graining. However, the assumptions (e.g. that the sum of ensemble activities are dominated by the mean and fluctuations are Gaussian) that underlie a coarse-grained description have yet to be qualified, especially in the biological context where… (More)
Social scientists have criticised computer models of pedestrian streams for their treatment of psychological crowds as mere aggregations of individuals. Indeed most models for evacuation dynamics use analogies from physics where pedestrians are considered as particles. Although this ensures that the results of the simulation match important physical… (More)
Bees and wasps are famous for many things, including elaborate flights to learn where their nest is. A new study provides precise, three-dimensional details of a wasp's head and body movements during such flights and reconstructs what the wasp sees.
Designing controllers for autonomous robots is not an exact science, and there are few guiding principles on what properties of control systems are useful for what kinds of task. In this article we analyze the functional operation of robot controllers developed using evolutionary computation methods, to elucidate the strengths and weaknesses of the… (More)