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Bliss Quit

Discussion in 'Civ6 - General Discussions' started by Ferocitus, Mar 6, 2018.

  1. Ferocitus

    Ferocitus Warlord

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    No argument with that! Replaying a game from the first move can
    give remarkably different results, not just for your Civ, but for all
    of the others, even though you don't meet some of them for >100
    turns.

    For me it's Applied Maths and Computational Physics. After I got
    hooked on those and made them into a kind of game, I didn't
    have time for any others except Civ.
     
    Inlex likes this.
  2. Stasi

    Stasi Chieftain

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    Completely agree. Learn and have another go.

    Edit: Missed Ferocitus' post and expressed basically the same sentiments. Pared down comments to not seem so weird.
     
    Last edited: Mar 8, 2018
  3. TheMeInTeam

    TheMeInTeam Top Logic

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    You should try out Rimworld if you haven't. It's possible to win on the highest difficulties, but most experiences end as you describe if you don't study the game carefully and micro very well.
     
  4. Eliminator_Sr

    Eliminator_Sr Chieftain

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    I'd like to try against that many civs but just curious - why marathon? I don't think I have the patience for games that long especially when my system is being pushed.
     
  5. Ferocitus

    Ferocitus Warlord

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    Fair question, but the 2nd answer will make you wish you hadn't asked it.
    1. I got used to that pace in Civ 5 and stuck with it.

    2. A mathematical interest in "Artificial Life" methods of optimisation.
    Marathon pace is one of the extreme parameter values of the search space in Civ
    that I want to use for a variation of something called The Travelling Thief
    Problem. I can use large maps with dead-flat terrain and then add obstacles such
    as mountains, marshes etc to simulate certain features of the problems I'm
    considering. There is absolutely nothing Civ related in those problems.

    Still awake?
    The search space, roughly speaking, is the volume of the hyper-cube with
    vertices formed by combinations of the minimum and maximum values of the
    parameters that participate in the optimisation.

    For a 2-parameter problem, the hyper-volume reduces to a simple 2D rectangle.
    The corners of the rectangle are co-ordinates, (x,y) say, where x is the number
    of civs, and y is the pace. x can vary from 2 (the minimum number of civs) up
    to 33 (the maximum number of civs); y takes discrete values in the set {fastest,
    fast, epic, marathon}.

    Still using the 2-parameter problem as an example, the bottom left-land corner
    of the rectangle is (2, fastest); the top righthand corner has co-ordinates
    (33, marathon).

    Of course the "true" search space is much larger and far more complicated, but
    you're asleep now. When you wake up you will remember nothing, except that if
    you ever play against a player named Ferocitus, you will give him a gift of
    olives and chocolate and ask for nothing in return.
    Click!
     

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