A.s.a. H. decomposes its model of the world into concepts and sequences (transition models over the vector state space). In the version of A.s.a. H. 2.0 light published in my 10 February 2011 blog utility controlled extrapolations can occur around line 3000 of the code. Other learning/extrapolation algorithms have been discussed in various of my publications on A.s.a. H.* With these algorithms A.s.a. rethinks the past and past actions on multiple levels of abstraction over its hierarchical memory trying to improve the expected rewards/utility. Responses to alternative possible environmental conditions are also explored/evaluated. i.e., mental time travel, another piece of machine consciousness.
* See, for example, Trans. Kansas Academy of Science, vol. 109, no. 3-4, pg 159-167, 2006 and vol. 124, no. 1-2 , pg 146, 2021 as well as work with A.s.a. F.
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