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.
Thank you so much for this detailed presentation. I was wondering how Utility AI looks like in Unreal. Are there tools for it in vanilla UE? If so do they work hand in hand with Behavior Trees or would they be in replacement of BTs? Or are there marketplace plugins for UAi ? I'm basically trying to understand if this is just a general concept or if there are dedicated tools to suppirt this approach when it comes to sceipting AIs in UE. If anyone is able to point me in the right direction.. thanks!!!
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.
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.
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
Final Score, Strongly weighted:
Like 100%
Sub 100%
Bell 100%
Love how broad your knowledge is with game dev stuff, I always find it really helpful
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.
Just started making AI system. This man reads my mind.
Man, your videos are exactly what I need. You also choose the best games as examples.
How do you not have more subscribers? You're like if Game Maker's Toolkit actually gave useful game development advice.
lol
Dude :D
A shade so strong that it has a 95% chance of triggering an SSS-class hive retaliation. Luckily, I'm one of those 5%.
i completely agree and I am implementing this to my game I think.
Bro this is very helpful!!
Thank you so much for this detailed presentation.
I was wondering how Utility AI looks like in Unreal. Are there tools for it in vanilla UE? If so do they work hand in hand with Behavior Trees or would they be in replacement of BTs?
Or are there marketplace plugins for UAi ?
I'm basically trying to understand if this is just a general concept or if there are dedicated tools to suppirt this approach when it comes to sceipting AIs in UE. If anyone is able to point me in the right direction.. thanks!!!
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.
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.
Thank you for the video! It looks like similar to GOAP. Pretty interesting!
Wow... a lot of this looked oddly familiar. Hmmm... wonder why? ;-)
Seriously, your talks are some of my favorites!
What game is that at 1:59? It looks neat.
Symphony of War: The Nephilim Saga! Very Fire Emblem-y
Thank you!
2:30 what is this game? Curious.
That's Fallout 1!
@@TheShaggyDev oh wow, those gems that I completely missed, better put these few days off during the holidays to revive some of that!
I’m so stupid but how did you get normalize number or score at 4:25
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
Congrats! You have invented language models!