MIT professor Erik Demaine shows in public domain curriculum how forward time travel projection react with advanced data structures, and how past variations impact the present. Idem with space domain. This is a crucial variational view on big data representation in space and time. http://courses.csail.mit.edu/6.851/spring12/
Worthwhile analysing this Information Science modeling from a big data economics perspective: how would the price of data represented in structure considered evolve? How can the data structure support one or another business model over time? Over space? Over statistical propulations?Imagine you want to test the stability of a pricing model against changes. You can introduce variations in the past versions of data structures, and see how they propagate and impact the present data structures. This is already a degree of abstraction, a layer of business and pricing model (linked/on top of data structure) and and how it may evolve, subject to changes happening in the environment.
Worthwhile analysing further...
The MIT course is highly commendable, deep notions are presented in a very attractive way.
6.851: Advanced Data Structures (Spring'12) courses.csail.mit.edu
TIME TRAVEL We can remember the past efficiently (a technique called persistence), but in general it's difficult to change the past and see the outcomes on the present (retroactivity). So alas, Back To The Future isn't really possible. MEMORY...