While I finish writing up the associative learning work done over the summer and before I embark head-on into writing a doctoral thesis (which I hope to start in January – leaving me 7-9 months for writing), I would like to discuss various options of small but publishable projects that I could work on meanwhile. Here are the ideas in mind – roughly in order of current interest:
 Ultrastable dynamical neural networks: a discussion of Ashby’s concept of an ultrasable system in the context of today’s evolved dynamical system agents – drawing examples from existing and ideally new work designed purposely to facillitate the comparison.
 Balance between chaos and stability in evolved internal mechanisms. What does a task/environment need to be so that agents that do different (relatively random) things get awarded? yet perform a task.
 ‘Self-motility’: an experiment that would shed light on what people mean by this in a dynamical systems perspective. The main interest here would be to develop a tool (or set of tools) to measure the ‘reactivity’ or ‘internalisation’ of the actions of an agent. Some systems are purely reactive – rocks. Some systems are purely internal. The interesting systems are those that lay in between and manage to move between the extremes of self-generated-movement and environmentally-generated-movements online.
 Sensori-motor learning: evolving an agent whose light sensors move about randomly everytime it is ‘born’. To solve a simple phototaxis task it has to first learn the ‘make-sense’ and only then to do the task.