The Fighting games are built on typical multiple tiers of mechanics i.e. from ranging basic movement of the model to the introduction of special attacks. The template set by Street Fighter II has since been adapted over the years by pretty much every successful 2D fighting game franchise, such as Mortal Kombat, King of Fighters, Samurai Shodown, the Capcom Vs series and of course, Killer Instinct. The subsequent strategies that emerge are often highly contextual, as we need to think not only about what our opponent is doing, but also what we want them to be doing in order to do maximum damage.
This introduces a number of high-level strategies such as:
Rushdowns: Close-range aggressive gameplay to try and force the player to perform the wrong move.
Footsies: Where players shuffle in their movement to try and get the opponent to expose themselves to attack.
Zoning: Where players use far-range projectile attacks to keep players at a distance.
Setups: Where you execute actions in advance of a combo in order to position both the player and opponent to create an opportune moment.
Identify and develop an AI solution capable of recognizing long-term player strategies from a human player, and then mimicking these strategies. The solution would be deployed in a multiplayer fighting game, where two humans would play each other, with the AI agent learning the strategies of a given player. Once the AI agent has learned the strategies utilized by a human, it should be capable of using these strategies whilst playing against a human. You can refer to the following links for knowing how AI has contributed its part in building fighting games:
https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/16380/3/Thesis-2014-Saini.pdf
https://towardsdatascience.com/killergroove-c4c606601a8a
If you want to learn more about Artificial Intelligence, then you can join the Artificial Intelligence Course.
Hope this helps!!!
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