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Advanced strategic A.I.

Discussion in 'AI & Navigation Previews' started by stormloop, Jun 9, 2019.

  1. stormloop

    stormloop

    Joined:
    Jun 9, 2019
    Posts:
    6
    I understand the basics of A.I. but i am more interested in strategic games where you control more than one guy. And I always ask mysemf how they make such A.I. for the opponent. How they make the computer think like a human on different difficulty levels. And most important, how do i do that myself.
     
  2. Antypodish

    Antypodish

    Joined:
    Apr 29, 2014
    Posts:
    8,803
    Some options are, either by building behavioral tree AI, which is conditional behavior selection, or Utility AI, or mix of these. Depends on requirement.

    Difficulty often is made, by adding / removing handicap / bonuses to either AI, or player. So it seams more, or less difficult, while keeping same AI mechanics. Alternatively, slowing, or accelerating AI decision making.

    AI generally is better at micro managing complex gameplays. For example large maps, while human player has less capabilities, to manage lots of things at the same time. So this may also contribute, to difficulty.

    Alternatively, you can use machine learning. Which is separate can of worms. Zero-k uses that for example.
     
  3. stormloop

    stormloop

    Joined:
    Jun 9, 2019
    Posts:
    6
    I searched up some of thise terms and a understand them al except for utility AI. And i dont know how to implement most of those, especially machine learning. But with machine learning, you let it evolve a bit, then let it play against itself to learn to play against higjer skilled level plauers and tjen take the result as an AI? That advanced AI surely is complex
     
  4. stormloop

    stormloop

    Joined:
    Jun 9, 2019
    Posts:
    6
    Sorry for the mistakes
     
  5. stormloop

    stormloop

    Joined:
    Jun 9, 2019
    Posts:
    6
    I found one of your other replies referencing to a book about ai, lets see if i understand it...
     
    Antypodish likes this.
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