An introduction to Utility AI

[@bossanova3494]

Love how broad your knowledge is with game dev stuff, I always find it really helpful

[@developersteve1658]

Awesome video. Thanks for providing more resources, too! What's cool is this approach lends itself very well to using ML which many people would consider "Real AI". Those weights could even be controlled by an orchestrator as described in the video by Ai and Games on Doom 2016's AI.

[@gourdbox]

Final Score, Strongly weighted: Like 100% Sub 100% Bell 100%

[@kuijibo]

Man, your videos are exactly what I need. You also choose the best games as examples.

[@ethical_researcher4754]

Just started making AI system. This man reads my mind.

[@YJoker]

Bro this is very helpful!!

[@Alicorn_]

How do you not have more subscribers? You're like if Game Maker's Toolkit actually gave useful game development advice.

[@TheShaggyDev]

lol

[@tobario]

Dude :D

[@ultimaxkom8728]

A shade so strong that it has a 95% chance of triggering an SSS-class hive retaliation. Luckily, I'm one of those 5%.

[@novicedraws8868]

i completely agree and I am implementing this to my game I think.

[@beidero]

Never heard the term "Utility AI" but it seems to be very similar to GOAP (just without the goals, action part would be almost the same). For GOAP you also end up scoring your potential actions and picking the best one. Based on this video to me it seems like Utility AI would be faster but less flexible than GOAP. Will consider trying this sometime in the future next time I make a game that would fit this kind of AI architecture.

[@TheShaggyDev]

Yep! Same general concept. There's a lot of instances like G.O.A.P. where a utility system is used for a different technique (because at some point you have to turn game state into something more consistent and usable), so picking a cutoff point for the video was a little tricky. I think Utility AI works great on its own for plenty of uses, but the concepts of scoring and manipulating game state to better capture desired behavior is a great foundation for a more complex AI system.

[@realMenta]

Thank you for the video! It looks like similar to GOAP. Pretty interesting!

[@nangld]

Congrats! You have invented language models!

[@eerywax5631]

What game is that at 1:59? It looks neat.

[@TheShaggyDev]

Symphony of War: The Nephilim Saga! Very Fire Emblem-y

[@eerywax5631]

Thank you!

[@loudmounthartist2257]

I’m so stupid but how did you get normalize number or score at 4:25

[@TheShaggyDev]

In that particular instance, there's no explicit normalization going on. I just multiply two numbers together that are already normalized to the range 0-1, according to the arbitrary rules of my sample logic that says Heal 25% is worth 0.4 and healing at 30% health is worth 0.8. As long as the numbers actually are

[@IADaveMark]

Wow... a lot of this looked oddly familiar. Hmmm... wonder why? ;-)

[@TheShaggyDev]

Seriously, your talks are some of my favorites!

[@alejmc]

2:30 what is this game? Curious.

[@TheShaggyDev]

That's Fallout 1!

[@alejmc]

@@TheShaggyDev oh wow, those gems that I completely missed, better put these few days off during the holidays to revive some of that!