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How AI reads a battlefield
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How AI reads a battlefield
Dr Ezra Sidran Fri Oct 27, 2017 10:22 pm
Just posted a rather lengthy piece on how AI 'reads' a battlefield.
http://general-staff.com/computational-military-reasoning-tactical-artificial-intelligence-part-1/
http://general-staff.com/computational-military-reasoning-tactical-artificial-intelligence-part-1/
Dr Ezra Sidran- Posts : 88
Join date : 2016-06-10 -
Re: How AI reads a battlefield
Martin Sat Oct 28, 2017 5:47 pm
Thanks for posting Ezra.
Not sure I follow everything, but think I understand the general approach.
I do have one question. Thinking about replayability for any historical or what-if scenario, does Tiger search for a number of good flank attacks and then (perhaps randomly) select one? Or does it just look for the best one and always choose that?
Martin (J)
Not sure I follow everything, but think I understand the general approach.
I do have one question. Thinking about replayability for any historical or what-if scenario, does Tiger search for a number of good flank attacks and then (perhaps randomly) select one? Or does it just look for the best one and always choose that?
Martin (J)
Martin- Posts : 2523
Join date : 2008-12-20
Location : London
Re: How AI reads a battlefield
Dr Ezra Sidran Sat Oct 28, 2017 8:34 pm
I've only posted Part 1 of the article on AI. We haven't even got to 'infiltration', 'penetration' and 'frontal assaults' as well as 'restricted avenues of attack', 'restricted avenues of retreat', 'choke points', etc.
But, the TIGER / MATE AI will always try to do a flank attack if it can get away with it.
But, the TIGER / MATE AI will always try to do a flank attack if it can get away with it.
Dr Ezra Sidran- Posts : 88
Join date : 2016-06-10 -
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