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WoW bot AI research
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AI: | |
- genetic algorithm | |
- Microbial GA http://www.codeproject.com/Articles/16286/AI-Simple-Genetic-Algorithm-GA-to-solve-a-card-pro | |
- Immune A http://www.codeproject.com/Articles/27551/Artificial-Immune-Algorithm-in-C | |
- Roaches https://msdn.microsoft.com/en-us/magazine/mt632275?f=255&MSPPError=-2147217396 | |
- neural network | |
- http://www.codeproject.com/Articles/16419/AI-Neural-Network-for-beginners-Part-1-of-3 | |
- http://natureofcode.com/book/chapter-10-neural-networks/ | |
- Markov decision process to change from 1 state to another (Q-learning/reinforcement learning). Neural Network could be just for the combat part. | |
- state machine (if/else) | |
- http://natureofcode.com/book/chapter-10-neural-networks/ | |
- http://www.codeproject.com/Articles/28858/AI-Life | |
- http://www.codeproject.com/Articles/54575/An-Introduction-to-Encog-Neural-Networks-for-C best NN example | |
- https://github.com/encog/encog-dotnet-core allows to easily create neural network with training support | |
- http://www.amazon.com/dp/1584506849/?tag=stackoverfl08-20 Behavioral Mathematics for Game AI | |
- http://www.codeproject.com/Articles/477689/JavaScript-Machine-Learning-and-Neural-Networks-wi | |
- http://xyclade.github.io/MachineLearning/ | |
Draft: | |
- learn what spells do, save it based on level, learn what creatures do, decide the strategy based on the 2 | |
- layered AI, higher chooses what to do(Markov decision process), lower chooses how to do it. | |
- start with a finite state machine as fallback till all the data for a proper neural network has been retrieved | |
- code methods to basic tasks like walk, run, cast spells | |
- then code methods for medium tasks like loot, eat, drink, buy | |
- then code advanced tasks like quests, bosses, instances, full-player experience with bgs and professions | |
- support player interaction, like inviting bots to group | |
- instead of letting the whole AI choose the spell, it's easier to classify spells in categories like heal, damage, bind/stun to attack, bind/stun to evade | |
- the inputs of the Perceptron could be hp, enemies count, level gradient (something like a Danger factor). | |
- fuzzy logic for some parameters, like level gradient. | |
- % of actions (stun/heal/damage) and order of actions (stun, dmg, dmg, heal, stun, dmg, dmg, etc) | |
- time since last type of action can also be used as input | |
- they could learn by pvp! maybe with some players there too, 5v5 arena/battleground or even duel |
Hahahahaha
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Hey, do you have any updates on this topic? Thanks