  We are interested in designing artificial universes for artifi- cial agents.
We view artificial agents as networks of high- level processes on top of of a
low-level detailed-description system. We require that the high-level processes
have some intrinsic explanatory power and we introduce an extension of
informational closure namely interaction closure to capture this. Then we
derive a method to design artificial universes in the form of finite Markov
chains which exhibit high-level pro- cesses that satisfy the property of
interaction closure. We also investigate control or information transfer which
we see as an building block for networks representing artificial agents.
