Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory

We propose a hybrid method that combines novel aspects of adaptable agent methodologies (ReAd) and a novel biologically inspired memory model to create powerful intelligent agents. These methodologies are well suited to each other, and by combining them in a novel way we are able to form a cognitive artificial agent that is capable of realistically emulating learning intelligent behaviour in a virtual environment.