"Machine learning techniques are being applied to all sorts of technologies, and it's only natural to wonder how those could be used to empower game development.
That's exactly what Google is researching for developers through its Project Chimera. A team of engineers and developers have been looking into the potential applications of generative adversarial networks (GANs)."
"What if a team of 14 people could make a game the scale of World of Warcraft? That's an absurd goal, right? The thing about games like WoW is that they rely on a lot of heavy, repetitive content creation. The artists and the writers are doing a lot of essentially duplicate work, that's where a lot of the investment goes. If you look at the amount of money that is spent making a game like World Warcraft, it's like 70% content and 30% or less code, even though it's a tremendous amount of code, it's way more on the content side."
"by playing the game millions of times with reinforcement learning agents that we've trained on the rules of the game, that lets us test the balance very, very quickly. So even a small developer who might not have access to hundreds of people to playtest their game could have access to this reinforcement learning tool that will optimise the play of the game. It can learn the game by itself without being scripted and then tell you where the problems are in the balancing. It lets you test your theories of the design against what's actually happening in real time."
wccftech.com
"Stadia has put together a team of game developers, machine learning engineers and infrastructure engineers in order to create gameplay prototypes to demonstrate the potential for machine learning in game development, it told MCV/DEVELOP.
"We're taking on the risk that developers don't want to," explains Erin Hoffman-John, head of creative for Stadia research and development. "We've been talking externally to developers and asking them, what are the things that you've always wanted to do but have not been able to do? What are the things that you've had to cut out of your games because you haven't been able to do them fast enough, or you just haven't had the processing power?"
"So what is Semantic ML? And at its core, semantic ML is just phrase or word association. But of course, some phrases are more closely associated than others. So for example, the word 'flower' is more closely associated to 'tulip' than it is to 'funeral.' So what Semantic ML can do is give us these like word distances, these word vectors, and some of these word vectors are actually signals of context. So for example, a flower can be put into a vase"
"I didn't actually programme the fox to answer questions," Kipnis cuts in, "or even to know you know what the heck coffee is. What I've done was I've taken an object that looks like a mug, and I've given it the label in plain English, 'small mug.' And then semantic ML kind of did everything else for me through those word associations."
"Of course, Google's experiments with machine learning open up the door to new and exciting game experiences, but they could also provide quality of life improvements for developers. With crunch being constantly discussed in the industry, machine learning could allow more developers more time outside of development, beyond just the potential for improving their games."
That's exactly what Google is researching for developers through its Project Chimera. A team of engineers and developers have been looking into the potential applications of generative adversarial networks (GANs)."
"What if a team of 14 people could make a game the scale of World of Warcraft? That's an absurd goal, right? The thing about games like WoW is that they rely on a lot of heavy, repetitive content creation. The artists and the writers are doing a lot of essentially duplicate work, that's where a lot of the investment goes. If you look at the amount of money that is spent making a game like World Warcraft, it's like 70% content and 30% or less code, even though it's a tremendous amount of code, it's way more on the content side."
"by playing the game millions of times with reinforcement learning agents that we've trained on the rules of the game, that lets us test the balance very, very quickly. So even a small developer who might not have access to hundreds of people to playtest their game could have access to this reinforcement learning tool that will optimise the play of the game. It can learn the game by itself without being scripted and then tell you where the problems are in the balancing. It lets you test your theories of the design against what's actually happening in real time."
Google Wants to Enable Devs to Create WoW-Sized Games With Small Teams Through Machine Learning
A research team at Google Stadia is working Project Chimera to enable developers to create WoW-sized games through machine learning.
wccftech.com
"Stadia has put together a team of game developers, machine learning engineers and infrastructure engineers in order to create gameplay prototypes to demonstrate the potential for machine learning in game development, it told MCV/DEVELOP.
"We're taking on the risk that developers don't want to," explains Erin Hoffman-John, head of creative for Stadia research and development. "We've been talking externally to developers and asking them, what are the things that you've always wanted to do but have not been able to do? What are the things that you've had to cut out of your games because you haven't been able to do them fast enough, or you just haven't had the processing power?"
"So what is Semantic ML? And at its core, semantic ML is just phrase or word association. But of course, some phrases are more closely associated than others. So for example, the word 'flower' is more closely associated to 'tulip' than it is to 'funeral.' So what Semantic ML can do is give us these like word distances, these word vectors, and some of these word vectors are actually signals of context. So for example, a flower can be put into a vase"
"I didn't actually programme the fox to answer questions," Kipnis cuts in, "or even to know you know what the heck coffee is. What I've done was I've taken an object that looks like a mug, and I've given it the label in plain English, 'small mug.' And then semantic ML kind of did everything else for me through those word associations."
"Of course, Google's experiments with machine learning open up the door to new and exciting game experiences, but they could also provide quality of life improvements for developers. With crunch being constantly discussed in the industry, machine learning could allow more developers more time outside of development, beyond just the potential for improving their games."
Can machine learning revolutionise game development? Stadia thinks it can | MCV/DEVELOP
How Stadia's project Chimera and Semantic ML use machine learning to change game development as…
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