A projective simulation scheme for partially observable multi-agent systems

We introduce a kind of partial observability to the projective simulation (PS) learning method. It is done by adding belief projection operator and an parameter original framework efficiency PS model. I provide theoretical formulations, network representations, situated scenarios derived from invasion toy problem as starting point for some multi-agent models.