Creative Machines: Self-Made Machines and Machine-Made Selves

Could robotic systems create environments and bodies for themselves? To answer these questions, let’s start with something simple (and most probable), and then open our discussion to include a somewhat more sublime, and more futuristic vision. Let’s also lay down some basic presumptions about how a paradigm for such physically intelligent robots would be initiated and sustained.  The establishment of a neurally-modeled, physically intelligent system capable of generative encoding would need to enable the acquisition of data, information, and therefore some type of “knowledge” about both the system itself (i.e.- interoceptive understanding), and the environments in which the system would be embedded and engaged (i.e.- exteroceptive understanding).

Continue reading