Building autonomous robotic agents that interact with the real-world is a complex and difficult task and several distinct paradigms are used to develop such machines. In the past decade there has been an exploration of approaches inspired by evolutionary and/or neurodynamical principles. [1, 2, 3, 4]. In earlier work, we have examined architectures which support agent-based design of such robot...
