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Chapters (29)
  1. By Iain M. Banks
  2. Dedication
  3. Dedication
  4. One
  5. Two
  6. Three
  7. Four
  8. Five
  9. Six
  10. Seven
  11. Eight
  12. Nine
  13. Ten
  14. Eleven
  15. Twelve
  16. Thirteen
  17. Fourteen
  18. Fifteen
  19. Sixteen
  20. Seventeen
  21. Eighteen
  22. Nineteen
  23. Twenty
  24. Twenty-one
  25. Twenty-two
  26. Twenty-three
  27. Twenty-four
  28. Twenty-five
  29. About the Author

The Simming Problem boiled down to, How true to life was it morally justified to be?

Simulating the course of future events in a virtual environment to see what might happen back in reality, and tweaking one’s own actions accordingly in different runs of the simulated problem to see what difference these would make and to determine whether it was possible to refine those actions such that a desired outcome might be engineered, was hardly new; in a sense it long pre-dated AIs, computational matrices, substrates, computers and even the sort of mechanical or hydrological arrangements of ball-bearings, weights and springs or water, tubes and valves that enthusiastic optimists had once imagined might somehow model, say, an economy.

In a sense, indeed, such simulations first took place in the minds of only proto-sentient creatures, in the deep pre-historic age of any given species. If you weren’t being too strict about your definitions you could claim that the first simulations happened in the heads – or other appropriate body- or being-parts – of animals, or the equivalent, probably shortly after they developed a theory of mind and started to think about how to manipulate their peers to ensure access to food, shelter, mating opportunities or greater social standing.

Thoughts like, If I do this, then she does that … No; if I do that, making him do this … in creatures still mystified by fire, or unable to account for the existence of air, or ice, above their watery environment – or whatever – were arguably the start of the first simulations, no matter how dim, limited or blinded by ignorance and prejudice the whole process might be. They were, also, plausibly, the start of a line that led directly through discussions amongst village elders, through collegiate essays, flow charts, war games and the first computer programs to the sort of ultra-detailed simulations that could be shown – objectively, statistically, scientifically – to work.

Long before most species made it to the stars, they would be entirely used to the idea that you never made any significant societal decision with large-scale or long-term consequences without running simulations of the future course of events, just to make sure you were doing the right thing. Simming problems at that stage were usually constrained by not having the calculational power to run a sufficiently detailed analysis, or disagreements regarding what the initial conditions ought to be.

Later, usually round about the time when your society had developed the sort of processal tech you could call Artificial Intelligence without blushing, the true nature of the Simming Problem started to appear.

Once you could reliably model whole populations within your simulated environment, at the level of detail and complexity that meant individuals within that simulation had some sort of independent existence, the question became: how god-like, and how cruel, did you want to be?