I now have a copy of Gobet and Lane's CHREST 4 cognitive architecture running in my lab. I am interested in how attention works in CHREST, the size of fragments of stimuli that are learned, and how chunks grow incrementally larger as learning continues. These are all related to similar issues in my Asa H architecture. Having had different prior experiences CHREST extracts different concepts/chunks and models subsequent experiences differently. It experiences an alternate reality like Asa does.